1. Trang chủ
  2. » Tất cả

Control strategies of permanent magnet synchronous motor drive for electric vehicles

179 3 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

CONTROL STRATEGIES OF PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE FOR ELECTRIC VEHICLES Chiranjit Sain, Atanu Banerjee and Pabitra Kumar Biswas Taylor & Francis Group Control Strategies of ­Permanent Magnet ­Synchronous Motor Drive for Electric Vehicles Control Theory and Applications About the Series This book series is envisaged to add to the scholarly discourse on h­ igh-quality books in all areas related to control theory and applications The book series provides a forum for the control scientists and engineers to exchange related knowledge and experience on contemporary research and development in control and automation This includes aircraft control, adaptive control, sliding mode control, evolutionary control, fuzzy theory and control, robotic manipulators, and even control applications in areas such as the Internet of Things and Big Data The scope includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware, with a special emphasis on bridging the gap between theory and practice It aims to explore the latest research findings and provide attention to emerging topics in control theory and its applications to diverse domains of engineering and technology, to expand the knowledge base and applications of this rapidly evolving and interdisciplinary field The series will include textbooks, references, handbooks, and ­short-form books Series Editor: Dipankar Deb Dr Dipankar Deb (­PhD, University of Virginia) Professor (­Electrical Engineering) Institute of Infrastructure, Technology, Research and Management (­IITRAM) (­An Autonomous University, Established by Government of Gujarat) Ahmedabad, Gujarat, India 380026 Office: +­91-7967775408, Mobile: +­91-7203954452 Researchgate: https://­www.researchgate.net/­profile/­Dipankar_Deb4 (­RG Score: 29.91) Google Scholar: https://­scholar.google.co.in/­citations?user=tu1T1FUAAAAJ&hl=en Home Page: http://­iitram.ac.in/­facultydetails.php?fac_id=9 Control Strategies of Permanent Magnet Synchronous Motor Drive for Electric Vehicles Chiranjit Sain, Atanu Banerjee and Pabitra Kumar Biswas Control Strategies of ­Permanent Magnet ­Synchronous Motor Drive for Electric Vehicles Chiranjit Sain Atanu Banerjee Pabitra Kumar Biswas MATLAB® and Simulink® are trademarks of The MathWorks, Inc and are used with permission The MathWorks does not warrant the accuracy of the text or exercises in this book This book’s use or discussion of MATLAB® and Simulink® software or related products does not constitute ­endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® and Simulink® software First edition published 2023 by CRC Press 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL ­33487-2742 and by CRC Press Park Square, Milton Park, Abingdon, Oxon, OX14 4RN © 2023 Chiranjit Sain, Atanu Banerjee and Pabitra Kumar Biswas CRC Press is an imprint of Taylor & Francis Group, LLC Reasonable efforts have been made to publish reliable data and information, but the author and ­publisher cannot assume responsibility for the validity of all materials or the consequences of their use The authors and publishers have attempted to trace the copyright holders of all material ­reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint Except as permitted under U.S Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers For permission to photocopy or use material electronically from this work, access www.copyright com or contact the Copyright Clearance Center, Inc (­CCC), 222 Rosewood Drive, Danvers, MA ­ 78-­750-8400 For works that are not available on CCC please contact m ­ pkbookspermissions@ 01923, tandf.co.uk Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe ISBN: 9781032038902 (­hbk) ISBN: 9781032038926 (­pbk) ISBN: 9781003189558 (­ebk) DOI: 10.1201/­9781003189558 Typeset in Times by codeMantra Dedicated to Our Beloved Family Members Taylor & Francis Taylor & Francis Group http://taylorandfrancis.com Contents List of Figures xi List of Tables xix Preface xxi Acknowledgements xxiii Authors xxv List of Symbols xxvii Chapter Introduction 1.1 1.2 Background and Problem Formulation Review of Mathematical Modelling and ­Open-­LoopBased Control Strategy of a ­Self-Controlled PMSM Drive .2 1.2.1 Literature Survey 1.3 Review of ­Closed-­Loop-Based Control Strategy of a PMSM Drive 1.3.1 Literature Survey 1.3.2 Review of Fuzzy ­Logic-Controlled ­PWMOperated PMSM Drive .4 1.4 Development of Different Control Strategies of a PMSM Drive 1.4.1 Literature Survey 1.5 ­Solar-Powered PMSM Drive Smart Electric Vehicle for Sustainable Development 1.5.1 Literature Survey 1.6 Smart ­Technology-Based ­Solar-Powered Electric Vehicle .9 1.7 Industrial Linkage in Smart Electric Vehicles 12 1.8 Research Objectives 13 1.9 Outline of the Thesis 14 Chapter Mathematical Modelling and Dynamic Performance Evaluation of a ­Self-Controlled Permanent Magnet Synchronous Motor Drive 17 2.1 Introduction������������������������������������������������������������������������������17 2.2 Contribution������������������������������������������������������������������������������18 2.3 Development of Mathematical Modelling and System Description�������������������������������������������������������������������������������19 ­ hree-Phase 2.3.1 Modelling of PWM-Operated T Voltage Source Inverter Topology������������������������������ 20 2.3.2 Transformation of ­abc-dq0 Matrix in Rotor Reference Frame����������������������������������������������������������21 2.3.3 Modelling of PMSM Machine����������������������������������� 22 2.4 Concept of Sensor Angle and Rotor Position Estimation .25 vii viii Contents 2.5 Simulation Results and Discussion������������������������������������������ 27 2.5.1 Performance Indices of a PMSM Drive without Sensor Angle Optimization���������������������������������������� 29 2.5.2 Comparative Performance Analysis with Sensor ­ Angle-Based Optimization (­­No-Load Operation)����� 30 2.5.3 Comparative Performance Analysis with Sensor ­ Angle-Based Optimization (­­On-Load Operation)�������33 2.5.4 Some Case Studies under Various Operating Conditions�������������������������������������������������������������������37 2.5.5 Illustration of Dynamic Behaviour of a PMSM Drive at Various DC Link Voltages����������������������������39 2.5.6 Illustration of Dynamic Behaviour of a PMSM Drive at Various Load Torques�����������������������������������41 2.6 Experimental Results and Discussions�������������������������������������41 2.7 Chapter Summary������������������������������������������������������������������� 48 Chapter Design and Comparative Analysis of ­Closed-Loop Control Strategy in a Simplified PMSM Drive Using Various Classical and Fuzzy Logic Controllers 49 3.1 Introduction 49 3.2 Contribution 50 3.3 Establishment of Mathematical Model of a Simplified ­Closed-Loop PMSM Drive 51 3.4 Performance Evaluation of a Simplified PMSM Drive Using Proportional Integral Controller 55 3.5 Performance Evaluation of Proposed Simplified C ­ losedLoop PMSM Drive Using Lead Speed Compensator 56 ­ losed3.6 Performance Evaluation of Proposed Simplified C Loop PMSM Drive Using ­Lead-Lag Speed Compensator .60 3.7 Investigation of a ­Closed-Loop PMSM Drive Employing PID Controller 61 3.8 Discussion and Comparative Performance Evaluation between a ­PI- and ­PID-Controlled Simplified PMSM Drive 63 3.9 Observation of Various Case Studies 70 3.10 Development of Fuzzy Logic Controller for Simplified ­Closed-Loop Model of a Simplified PMSM Drive 73 3.10.1 Development of Fuzzy Logic Controller Rule Base 75 3.10.2 Dynamic Performance Evaluation of Fuzzy Logic ­Speed-Controlled PMSM Drive 75 3.10.3 Performance Indices of Control System Use Different Controllers (­Time Domain and Frequency Domain) 77 3.10.4 Optimization of Dynamic Performance of ­Fuzzy-Controlled PMSM Drive 78 3.11 Chapter Summary 79 Contents ix Chapter Illustration of a ­Fuzzy-Controlled ­PWM-Operated PMSM Drive Employed in Light Electric Vehicle 81 4.1 Introduction 81 4.2 Contribution 82 4.3 Proposed System Description 83 4.3.1 Design Considerations of a Fuzzy Speed Controller 88 4.4 Performance of a Light Electric Vehicle 91 4.5 Simulation Results and Discussion 92 4.6 Experimental Results and Discussion 100 4.7 Chapter Summary 106 Chapter Development of Control Strategy of a ­Vector-Controlled PMSM Torque Drive for ­Energy-Efficient Electric Vehicle 109 5.1 Introduction 109 5.2 Contribution 111 5.3 Mathematical Modelling and Proposed System Description 111 5.3.1 Analysis of a Hysteresis Current Controller 116 5.3.2 Modelling of an ­Energy-Efficient Electric Vehicle 117 5.4 Simulation Results and Discussion 118 5.4.1 Performance of an ­Energy-Efficient Electric Vehicle 122 5.4.2 Some Case Studies 125 5.5 Experimental Investigation 130 5.6 Chapter Summary 134 Chapter Conclusions and Future Work 135 6.1 Conclusions 135 6.2 Future Work 136 References and Further Reading 137 Index 147 136 Control Strategies of Motor Drive exhibits greater dynamic response without hampering other parameters of the machine under a certain range of operation in a ­torque-controlled PMSM drive • To exhibit the comparative dynamic behaviour of this proposed drive applying a hysteresis current controller and a PWM current controller for ­energy-efficient electric vehicles Several case studies are also included to quantify the comparative assessment of the proposed controllers at various operating points This proposed ­PWM-operated strategy ensures lesser current ripples and reduces torque pulsation at higher switching frequency of the inverter without employing additional filter circuitry Furthermore, a relationship with the magnitude of torque pulsations and switching frequency of the inverter with the hysteresis window size is established also an achievement of the thesis • To establish the environmental impact of solar energy in ­energy-efficient electric vehicles and to identify and discuss some proposed smart technologies based on ICT infrastructure for s­ olar-powered electric vehicles in recent smart cities 6.2 FUTURE WORK During the period of this research, the following issues have been pointed out and listed below as possible future works in this proposed area: • Reduction of noise and vibration is a critical issue in recent days especially in automotive applications During this study, few issues related to the generation of noise and vibration have been observed Moreover, overall design of the machine, efficient operation of the inverter and such mechanical parameters can be taken into consideration in the future study to employ the proposed PMSM drive in automotive application more efficiently • To illustrate the dynamic performance of a PMSM drive using some advanced model of predictive control techniques Compared with the various classical control topologies, advanced model predictive control plays a vital role for such robust and optimal operation of the drive system under various operating conditions • For such smooth and reliable operation in various commercial and industrial applications, sensing as well as diagnosis of various kinds of faults occurred in a PMSM drive which is also a crucial future issue Moreover, incorporation of such fruitful measures for such better identification and quick mode of clearance of faults may be a sensitive approach in future study for sustainability of the system References and Further Reading [1] Han X, Jiang D, Zou T, Qu R, Yang K Two-Segment Three-Phase PMSM Drive with Carrier Phase-Shift PWM for Torque Ripple and Vibration Reduction IEEE Transactions on Power Electronics 2019; 34 (1):588–599 [2] Liu X, Zhang C, Li K, Zhang Q Robust Current Control-Based Generalized Predictive Control with Sliding Mode Disturbance Compensation for PMSM Drives ISA Transactions 2017; 71:542–552 doi:10.1016/j.isatra.2017.08.015 [3] Qian W, Panda SK et al Torque Ripple Minimization in PM Synchronous Motors Using Iterative Learning Control IEEE Transactions on Power Electronics 2004; 19 (2):272–279 [4] Xiao X, Chen C Reduction of Torque Ripple Due to Demagnetization in PMSM Using Current Compensation IEEE Transactions on Applied Superconductivity 2010; 20 (3):1068–1071 [5] Ren Y, Zhu ZQ Reduction of both Harmonic Current and Torque Ripple for Dual Three-Phase Permanent Magnet Synchronous Machine Using Modified SwitchingTable-Based Direct Torque Control IEEE Transactions on Industrial Electronics 2015; 62 (11):6671–6683 [6] Xu P, Zhu ZQ Initial Rotor Position Estimation Using Zero-Sequence Carrier Voltage for Permanent-Magnet Synchronous Machines IEEE Transactions on Industrial Electronics 2017; 64 (1):149–158 [7] Zhang X, Bao H, Du J, Wang C Application of a New Membership Function in Nonlinear Fuzzy PID Controllers with Variable Gains Journal of Applied Mathematics 2014; 1–7 [8] De Belie F, Melkebeek J Seamless Integration of a Low-Speed Position Estimator for IPMSM in a Current Controlled Voltage-Source Inverter In IEEE International Conference on Sensorless Control for Electrical Drives (SLED), pp 50–55; 2010 doi:10.1109/SLED.2010.5542804 [9] Sain C, Biswas PK, Banerjee A Design and Analysis of Open Loop Model of a Permanent Magnet Synchronous Motor (PMSM) Drive International Conference on Energy, Power and Environment (ICEPE), 2015:1–6 [10] Idkhajine L, Monmasson E, Naouar MW, Prata A, Bouallaga K Fully Integrated FPGABased Controller for Synchronous Motor Drive IEEE Transactions on Industrial Electronics, 2009, 56 (10):4006–4017 [11] Choudhury A, Pillay P, Williamson SS DC-Link Voltage Balancing for a 3-Level Electric Vehicle Traction Inverter using an Innovative Switching Sequence Control Scheme IEEE Journal of Emerging and Selected Topics in Power Electronics 2014, (2):296–307 [12] Kwon OM, Park JH, Lee SM, Cha EJ New Augmented Lyapunov–Krasovskii Functional Approach to Stability Analysis of Neural Networks with Time-Varying Delays Nonlinear Dynamics 2014, 76 (1):221–236 [13] Xia Y, Yu M, Peng Y, Wei W Modeling and Analysis of Circulating Currents among Input-Parallel Output-Parallel Nonisolated Converters IEEE Transactions on Power Electronics, 2017, 33 (10):8412–8426 137 138 References and Further Reading [14] Tseng KJ, Wang T, Zhao J Development of Efficient Air-Cooling Strategies for Lithium-Ion Battery Module Based on Empirical Heat Source Model Applied Thermal Engineering, 2015, 90, 521–529 [15] Cai R, Zheng R, Liu M, Li M Robust Control of PMSM Using Geometric Model Reduction and µ-Synthesis IEEE Transactions on Industrial Electronics 2018; 65 (1):498–509 [16] Ortega AJP, Paul S, Islam R, Xu L Analytical Model for Predicting Effects of Manufacturing Variations on Cogging Torque in Surface-Mounted Permanent Magnet Motors IEEE Transactions on Industry Applications 2016; 52 (4):3050–3061 [17] Kannan, G., Saravanakumar, G, Saraswathi M Two-Degree of Freedom PID Controller in Time Delay System using Hybrid Controller Model International Journal of Automation and Control 2018; 12 (3):399–426 [18] Banerjee, S Extension of Operating Air-Gap in Electromagnetic Levitation System by using Intelligent Controllers International Journal of Automation and Control, 2018, 12 (4):526–554 [19] Sant, AV, Rajagopal KR PM Synchronous Motor Speed Control using Hybrid Fuzzy PI with Novel Switching Functions IEEE Transactions on Magnetics 2009; 45 (10):4672–4675 [20] Pon Annal AS, Kanthalakshmi S An Adaptive PID Control Algorithm for Nonlinear Process with Uncertain Dynamics International Journal of Automation and Control 2017; 11 (3):262–273 [21] Jung JW, Choi YS, Leu VQ, Choi HH Fuzzy PI-Type Current Controllers for Permanent Magnet Synchronous Motors IET Electrical Power Applications 2011; (1):143–152 [22] Arun NK, Mohan BM Modelling, Stability Analysis and Computational Aspects of Nonlinear Fuzzy PID Controllers using Mamdani Minimum Inference International Journal of Automation and Control, 2018, 12 (1):153–174 [23] Flieller D, Nguyen NK, Wira P A Self-Learning Solution for Torque Ripples Reduction for Nonsinsoidal Permanent Magnet Motor Drives Based on Artificial Neural Networks IEEE Transactions on Industrial Electronics 2014; 61 (2):655–666 [24] Yan H, Xu Y, Cai F PWM-VSI Fault Diagnosis for PMSM Drive Based on Fuzzy Logic Approach IEEE Transactions on Power Electronics 2018; 34 (1):759–768 [25] Singh B, Singh BP, Dwivedi S DSP Based Implementation of Hybrid Fuzzy PI Speed Controller for Direct Torque Controlled Permanent Magnet Synchronous Motor Drive International Journal of Emerging Electric Power System 2007; (2):1–22 [26] Ramesh T, Panda AK Direct Flux and Torque Control of Three Phase Induction Motor Drive Using PI and Fuzzy Logic Controllers for Speed Regulator and Low Torque Ripple Student Conference on Engineering and Systems (SCES), Allahabad (India) 2012:1–6 [27] Li S, Li Y, Choi W, Sarlioglu B High-Speed Electric Machines: Challenges and Design Considerations IEEE Transactions on Transportation Electrification 2016; (1):2–13 [28] Arumugam P et al High-Speed Solid Rotor Permanent Magnet Machines: Concept and Design IEEE Transactions on Transportation Electrification 2016; (3):391–400 [29] Darwish A, Massoud A, Holliday D Generation, Performance Evaluation and Control Design of Single-Phase Differential-Mode Buck-Boost Current Source Inverters IET Renewable Power Generation 2016; 10 (7):916–927 [30] Chen HC, Huang H Design of Buck-Type Current Source Inverter Fed Brushless DC Motor Drive and Its Application to Position Sensor Less Control with Square Wave Current IET Electric Power Application 2013; (5):416–426 [31] Ameur A, Mokhtari B, Essounbouli N, Nollet F Modified Direct Torque Control for Permanent Magnet Synchronous Motor Drive Based on Fuzzy Logic Torque Ripple Reduction and Stator Resistance Estimator Journal of Control Engineering and Applied Informatics 2013; 15 (3):45–52 References and Further Reading 139 [32] Mehta H, Joshi V, Kurulkar P Implementation issues of sliding mode observer for sensorless field oriented control of PMSM using TMS320F2812 In 2016 IEEE Symposium on Sensorless Control for Electrical Drives (SLED), 1–6, 2016 [33] Meng X, Cassandras CG Optimal Control of Autonomous Vehicles for Non-Stop Signalized Intersection Crossing In IEEE Conference on Decision and Control (CDC), pp 6988–6993; 2018 [34] Lu KY, Vetuschi M, Rasmussen PO, Ritchie AE Determination of High-Frequency d- and q-axis Inductances for Surface-Mounted Permanent-Magnet Synchronous Machines IEEE Transactions on Instrumentation and Measurement 2010; 59 (9):2376–2382 [35] Najmabadi A, Xu W, Degner M A Sensitivity Analysis on the Fifth and the Seventh Harmonic Current Injection for Sixth Order Torque Ripple Reduction IEEE International Electric Machines and Drives Conference (IEMDC), 2017:1–8 [36] Vafaie MH, Dehkordi BM, Moallem P, Kiyoumarsi A Improving the Steady-State and Transient-State Performances of PMSM through an Advanced Deadbeat Direct Torque and Flux Control System IEEE Transactions on Power Electronics 2017; 32 (4):2964–2975 [37] Gao J, Wu X, Huang S, Zhang W, Xiao L Torque Ripples Minimisation of Permanent Magnet Synchronous Motor Using a New Proportional Resonant Controller IET Power Electronics 2017; 10 (2):208–214 [38] Sepulchre L, Fadel M, Pietrzak-David M, Porte G MTPV Flux Weakening Strategy for PMSM High Speed Drive IEEE Transactions on Industry Applications 2018; 54 (6):6081–6089 [39] Nakao N, Akatsu K Suppressing Pulsating Torques: Torque Ripple Control for Synchronous Motors IEEE Industry Applications Magazine 2014; 20 (6):33–44 [40] Brock S, Auczak D, Pajchrowski T, Zawirski K Selected Methods for a Robust Control of Direct Drive with a Multi-Mass Mechanical Load Advanced Control of Electrical Drives and Power Electronic Converters, Springer International Publishing; 2017:75–98 [41] Cao W, Mecrow BC, Atkinson GJ, Bennett JW, Atkinson DJ Overview of Electric Motor Technologies Used for more Electric Aircraft (MEA) IEEE Transactions on Industrial Electronics 2012; 59 (9):3523–3531 [42] Kwon TS, Sul SK Novel anti windup of a current regulator of a surface-mounted permanent-magnet motor for flux-weakening control IEEE Transactions on Industry Applications 2006; 42 (5):1293–1300 [43] Huang J, Liu Q, Wang X, Li K A Carrier-Based Modulation Scheme to Reduce the Third Harmonic Component of Common-Mode Voltage in a Three-Phase Inverter under High DC Voltage Utilization IEEE Transactions on Industrial Electronics 2018; 65 (3):1931–1940 [44] Bobtsov A, Pyrkin A, Ortega R, Vukosavic S, Stankovic A, Panteley E A Robust Globally Convergent Position Observer for the Permanent Magnet Synchronous Motor Automatica 2015; 61:47–54 doi:10.1016/j.automatica.2015.07.032 [45] Brock S, Deskur J A Practical Approach to Compensation of Torque Ripple in HighPrecision Permanent Magnet Motor Drives 3rd International Conference on Electrical Drives and Power Electronics, Dubrovnik Croatia 2005:1–6 [46] Ramarathnam S, Mohammed AK, Bilgin B, Sathyan A, Dadkhah H, Emadi A A Review of Structural and Thermal Analysis of Traction Motors IEEE Transactions on Transportation Electrification 2015; (3):255–265 [47] Ogubuka C, Nwosu C, Marcel A A High Performance Hysteresis Current Control of a Permanent Magnet Synchronous Motor Drive Turkish Journal of Electrical Engineering & Computer Sciences 2017; 25 (1):1–14 doi:10.3906/elk–1505–160 140 References and Further Reading [48] Robinson AP, Blythe PT, Bell MC, Hübner Y, Hill GA Analysis of Electric Vehicle Driver Recharging Demand Profiles and Subsequent Impacts on the Carbon Content of Electric Vehicle Trips Energy Policy 2013; 61:37–348 [49] Richardson DB Electric Vehicles and the Electric Grid: A Review of Modeling Approaches, Impacts, and Renewable Energy Integration Renewable & Sustainable Energy Reviews 2013; 19:247–254 [50] Daziano RA, Chiew E Electric Vehicles Rising from the Dead: Data Needs for Forecasting Consumer Response toward Sustainable Energy Sources in Personal Transportation Energy Policy 2012; 51:876–894 [51] Ewing G, Sarigöllü E Assessing Consumer Preferences for Clean-Fuel Vehicles: A Discrete Choice Experiment Journal of Public Policy & Marketing 2000; 19:106–118 [52] Taylor J, Maitra A, Alexander M, Brooks D, Duvall M Evaluation of the Impact of Plug-in Electric Vehicle Loading on Distribution System Operations Power & Energy Society General Meeting, IEEE 2009; PES’09 1–6 [53] Galus MD, Andersson G Integration of Plug-In Hybrid Electric Vehicles into Energy Networks Power Tech IEEE Bucharest; 2009:1–8 [54] Bandhauer TM, Garimella S, Fuller TF Temperature-Dependent Electrochemical Heat Generation in a Commercial Lithium-Ion Battery Journal of Power Sources 2014; 247:618–628 [55] Glerum A, Frejinger E, Karlström A, Beser Hugosson M, Bierlaire M Modeling Car Ownership and Usage: A Dynamic Discrete-Continuous Choice Modeling Approach In Presented at the International Choice Modelling Conference, Sydney, Australia; 2013 [56] Parks K, Denholm P, Markel T Costs and Emissions Associated with Plug-in Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory NREL Report No TP-640-41410 [57] Soares FJ, Pecas Lopes JA, Rocha Almeida PM, Moreira CL, Seca L A Stochastic Model to Simulate Electric Vehicles Motion and Quantify the Energy Required from the grid In Presented at the Power Systems Computation Conference (PSCC), Stockholm, Sweden; 2011 [58] Zakariazadeh A, Jadid S, Siano P Integrated Operation of Electric Vehicles and Renewable Generation in a Smart Distribution System Energy Conversion and Management, 2015, 89:99–110 [59] Ramirez-Villalobos R, Aguilar L, Coria L Sensorless H∞ Speed-Tracking Synthesis for Surface-Mount Permanent Magnet Synchronous Motor ISA Transactions 2017; 67:140–150 doi:10.1016/j.isatra.2017.01.007 [60] Rabiei A, Thiringer T, Alatalo M, Grunditz EA Improved Maximum-Torque-PerAmpere Algorithm Accounting for Core Saturation, Cross-Coupling Effect, and Temperature for a PMSM Intended for Vehicular Applications IEEE Transactions on Transportation Electrification 2016; (2):150–159 [61] Li Q, Xu Q, Ren W An Improved Predictive Current Method for Permanent Magnet Synchronous Motors ITEC Asia-Pacific 2014, 2014:1–6 [62] Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M Internet of Things for Smart Cities IEEE Internet of Things Journal, 2014, (1), 22–32 [63] Yang H, Lin H, Zhu Z Q, Wang D, Fang S, Huang Y Novel Switched-Flux Hybrid Permanent Magnet Memory Machines for EV/HEV Applications Proceedings of 17th International Conference on Electrical Machines and Systems (ICEMS), Hangzhou, China 2014:1191–1195 [64] Sain C, Biswas PK, Banerjee A, Padmanaban S An Efficient Flux Weakening Control Strategy of a Speed Controlled Permanent Magnet Synchronous Motor Drive for Light Electric Vehicle Applications IEEE-CALCON Conference, India 2017:1–6 http:// ieeexplore.ieee.org References and Further Reading 141 [65] Lin H, Lipo TA, Kwon BI, Cheon SR Three-Level Hysteresis Current Control for a Three Phase Permanent Magnet Synchronous Motor Drive IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, 2012:1–6 [66] Egardt B, Murgovski N, Pourabdollah M, Mardh LJS Electro Mobility Studies Based on Convex Optimization: Design and Control Issues Regarding Vehicle Electrification IEEE Control Systems Magazine 2014; 34 (2):32–49 [67] Chen Q, Lin T, Ren H Direct Torque Control of a Permanent Magnet Synchronous Machine for Hybrid Hydraulic Excavator IET Electric Power Applications 2018; 13 (2):222–228 [68] Ekanayake S, Dutta R, Rahman MF, Xia D Direct Torque and Flux Control of Interior Permanent Magnet Synchronous Machine in Deep Flux-Weakening Region IET Electric Power Applications 2018; 12 (1):98–105 [69] Xia C, Chen H, Li X, Shi T Direct Self-Control Strategy for Brushless DC Motor with Reduced Torque Ripple IET Electric Power Applications 2018; 12 (3):398–404 [70] Soltani H, Davari P, Zare F, Blaabjerg F Effects of Modulation Techniques on the Input Current Interharmonics of Adjustable Speed Drives IEEE Transactions on Industrial Electronics 2018; 65 (1):167–178 [71] Suryakant S, Sreejeth M, Singh M Performance Analysis of PMSM Drive using Hysteresis Current Controller and PWM Current Controller IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2018:1–5 [72] Jian F, Yongling F, Liming Y, Jianwen G, Rongrong Y, Mingkang W Digital Fixed-Frequency Hysteresis Current Control of a BLDC Motor Applied for Aerospace Electrically Powered Actuators Chinese Journal of Aeronautics 2018; 31 (6):1287–1297 [73] Sarigiannidis AG, Beniakar ME, Kladas AG Fast Adaptive Evolutionary PM Traction Motor Optimization Based on Electric Vehicle Drive Cycle IEEE Transactions on Vehicular Technology 2017; 66 (7):5762–5774 [74] Santiago J, Bernhoff H, Ekergård B, Eriksson S, Ferhatovic S, Waters R Electrical Motor Drivelines in Commercial All-Electric Vehicles: A Review IEEE Transactions on Vehicular Technology 2012; 61 (2):475–484 [75] Li K, Chou FC, Yen JY Real-Time, Energy-Efficient Traction Allocation Strategy for the Compound Electric Propulsion System IEEE/ASME Transactions on Mechatronics 2017; 22 (3):1371–1380 [76] Monteiro JR, Oliveira A Jr, Aguiar ML, Sanagiotti ER Electromagnetic Torque Ripple and Copper Losses Reduction in Permanent Magnet Synchronous Machines International Transactions on Electrical Energy Systems 2012; 22 (5):627–644 [77] Uddin MN, Radwan TS, Rahman MA Performances of Fuzzy-Logic-Based Indirect Vector Control for Induction Motor Drive IEEE Transactions on Industry Applications 2002; 38 (5):1219–1225 [78] Chowdhury MM, Haque ME, Das D, Gargoom A, Negnevitsky M Modeling, Parameter Measurement and Sensorless Speed Estimation of IPM Synchronous Generator for Direct Drive Variable Speed Wind Turbine Application International Transactions on Electrical Energy Systems 2015; 25:1814–1830 [79] Zerikat M, Chekroun S Design and Implementation of a Hybrid Fuzzy Controller for a High Performance Induction Motor Proceedings of the World Academy of Science, Engineering and Technology, 2007; 20:263–269 [80] Krishnan R Electric Motor Drives-Modeling, Analysis and Control New York: Pearson Education; 2003 652 p [81] Krause PC, Wasynczuk O, Sudhoff S Analysis of Electric Machinery and Drive Systems Wiley and IEEE Press; 2002 142 References and Further Reading [82] Jaguemont J, Boulon L, Dub Y Characterization and Modelling of a Hybrid-Electric Vehicle Lithium-Ion Battery Pack at Low Temperatures IEEE Transactions on Vehicular Technology 2016; 65 (1):1–14 [83] Yongchang Z, Jianguo Z Direct Torque Control of Permanent Magnet Synchronous Motor with Reduced Torque Ripple and Commutation Frequency IEEE Transactions on Power Electronics 2011; 26:235–248 [84] Kommuri SK, Defoort M, Karimi HR, Veluvolu KC A Robust Observer-Based Sensor Fault-Tolerant Control for PMSM in Electric Vehicles IEEE Transactions on Industrial Electronics 2016; 63 (12):7671–7681 [85] Xu P, Zhu ZQ, Wu D Carrier Signal Injection-Based Sensorless Control of Permanent Magnet Synchronous Machines without the Need of Magnetic Polarity Identification IEEE Transactions on Industry Applications 2016; 52 (5):3916–3926 [86] Shi T, Wang Z, Xia C Speed Measurement Error Suppression for PMSM Control System Using Self-Adaption Kalman Observer IEEE Transactions on Industrial Electronics 2015; 62 (5):2753–2763 [87] Chaoui H, Khayamy M, Aljarboua AA Adaptive Interval Type-2 Fuzzy Logic Control for PMSM Drives with a Modified Reference Frame IEEE Transactions on Industrial Electronics 2017; 64 (5):3786–3797 [88] Chaoui B, Hamane B, Doumbia ML Adaptive Control of Venturini Modulation Based Matrix Converters Using Interval Type-2 Fuzzy Sets Journal of Control, Automation and Electrical Systems, Springer 2016; (2):132–143 [89] Suzuki T, Shimizu Y, Iwaji Y, Takahata R, Aoyagi S Minimum Current Start-Up Method by Combined Use of Two Position-Sensorless Controls IEEE Transactions on Industry Applications 2015; 51 (4):3086–3093 [90] Iwaji Y, Takahata R, Suzuki T, Aoyagi S Position Sensorless Control Method at ZeroSpeed Region for Permanent Magnet Synchronous Motors Using the Neutral Point Voltage of Stator Windings IEEE Transactions on Industry Applications 2016; 52 (5):4020–4028 [91] Iyer LV, Lai C, Dhulipati H, Mukherjee K, Kar NC A Novel MTPA Theory Based Bottom‐up Approach towards Parametric and Structural Design of Interior PMSM for Electric Vehicles International Transactions on Electrical Energy Systems 2018; 28 (2):1–19 [92] Lu X, Iyer KLV, Mukherjee K, Kar NC Investigation of Integrated Charging and Discharging Incorporating Interior Permanent Magnet Machine with Damper Bars for Electric Vehicles IEEE Transactions on Energy Conversion 2016; 31:260–269 [93] Santucci A, Sorniotti A, Lekakou C Power Split Strategies for Hybrid Energy Storage Systems for Vehicular Applications Journal of Power Sources 2014; 258:395–407 [94] Bayindir KC, Gửzỹkỹỗỹk MA, Teke AA Comprehensive Overview of Hybrid Electric Vehicle: Power Train Configurations Power Train Control Techniques and Electronic Control Units Energy Conversion & Management 2011; 52 (2):1305–1313 [95] Denis N, Dubois MR, Desrochers A Fuzzy-Based Blended Control for the Energy Management of a Parallel Plug-in Hybrid Electric Vehicle IET Intelligent Transport Systems 2015; (1):30–37 [96] Park JW, Hwang SH, Kim JM Sensorless Control of Brushless DC Motors with Torque Constant Estimation for Home Applications IEEE Transactions on Industry Applications 2012; 48 (2):677–684 [97] Soreshjani MH, Haghparast M Classical Direct Torque Control Performance of Line Start PM Synchronous Motor for Different Conditions International Transactions on Electrical Energy Systems 2015; 25 (11):2595–2620 [98] Shi K, Yuan X, Liu L Model Predictive Controller-Based Multi-Model Control System for Longitudinal Stability of Distributed Drive Electric Vehicle ISA Transactions, Elsevier 2018; 72:44–55 References and Further Reading 143 [99] Ding S, Liu L, Zheng W Sliding Mode Direct Yaw-Moment Control Design for In-Wheel Electric Vehicles IEEE Transactions on Industrial Electronics 2017; 64 (8):6752–6762 [100] Pairo H, Khanzade MH, Shoulaie A Loss‐Based Investigation and Hybrid Compensation of Parameter Variation Effects on Control of Permanent Magnet Synchronous Motors International Transactions on Electrical Energy Systems 2018; 28 (1):1–19 [101] Azar AT, Serrano FE Stabilization and Control of Mechanical Systems with Backlash Handbook of Research on Advanced Intelligent Control Engineering and Automation, Advances in Computational Intelligence and Robotics 2015; IGI-Global, USA, 1–60 [102] Wang Z, Chu K, Liu B, Cheng M Three-Port High-Frequency Transformer Based Current-Source Electric Drive System for Hybrid Electric Vehicles IEEE International Magnetic Conference, China 2015 [103] Gunabalan R, Sanjeevikumar P, Blaabjerg F, Ojo O, Subbiah V Analysis and Implementation of Parallel Connected Two-Induction Motor Single-Inverter Drive by Direct Vector Control for Industrial Application IEEE Transactions on Power Electronics 2015; 30 (12):6472–6475 [104] Lee Y, Ha JI Control Method for Mono Inverter Dual Parallel Surface Mounted Permanent Magnet Synchronous Machine Drive System IEEE Transactions on Industrial Electronics 2018; 62 (10):6096–6107 [105] Arun NK, Mohan BM Modelling, Stability Analysis and Computational Aspects of Nonlinear fuzzy PID Controllers using Mamdani Minimum Inference International Journal of Automation and Control 2017; 12 (1):153–174 [106] Kumar V, Nakra BC, Mittal AP, A Review on Classical and Fuzzy PID Controllers International Journal of Intelligent Control and Systems 2011; 16 (3):170–181 [107] Preindl M, Bolognani S Optimal State Reference Computation with Constrained MTPA Criterion for PM Motor Drives IEEE Transactions on Power Electronics 2015; 30 (8):4524–4535 [108] Jeung ET, Lee KR Static Output Feedback Control for Continuous-Time T-S Fuzzy Systems: An LMI Approach International Journal of Control, Automation and Systems 2014; 12 (3):703–708 [109] Hongryel K, Jubum S, Jangmyung L A High-Speed Sliding-Mode Observer for the Sensorless Speed Control of a PMSM IEEE Transactions on Industrial Electronics 2011; 58 (9):4069–4077 [110] Das S, Pan I, Das S, Gupta A A Novel Fractional Order Fuzzy PID Controller and Its Optimal Time Domain Tuning Based on Integral Performance Indices Engineering Applications of Artificial Intelligence 2012; 25 (2):430–442 [111] Khooban MH, Alfi A, Abadi DNM Control of a Class of Non-Linear Uncertain Chaotic Systems via an Optimal Type-2 Fuzzy Proportional Integral Derivative Controller IET Science, Measurement and Technology 2013; (1):50–58 [112] Abderrezek H, Aissa A, Harmas MN Modified PSO-Based Nonlinear Controllers Applied to a DC-DC Converter International Journal of Automation and Control 2019; 13 (1):1–16 [113] Chakravarthi MK, Venkatesan N Adaptive Type-2 Fuzzy Controller for Nonlinear Delay Dominant MIMO Systems: An Experimental Paradigm in LabVIEW International Journal of Advanced Intelligence Paradigms 2018; 10 (4):354–373 [114] Sain C, Banerjee A, Biswas PK, Sanjeevikumar P A Sate of the Art Review on Solar Powered Energy Efficient PMSM Drive Smart Electric Vehicle for Sustainable Development In Advances in Greener Energy Technologies & Springer Book Series: Green Energy and Technology (ISSN: 1865–3529), pp 231–258, Springer; 2020 [115] Un-Noor F, Padmanaban S, Mihet-Popa L, Mollah MN, Hossain F A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development Energies 2017; 10:12–17 144 References and Further Reading [116] Wang Z, Lu K, Blaabjerg F A Simple Start-Up Strategy Based on Current Regulation for Back-EMF-Based Sensor Less Control of PMSM IEEE Transactions on Power Electronics 2012; 27:3817–3825 [117] Febin Daya JL, Sanjeevikumar P, Blaabjerg F, Wheeler PW, Ojo J Implementation of Wavelet-Based Robust Differential Control for Electric Vehicle Application IEEE Transactions on Power Electronics 2015; 30 (12):6510–6513 [118] Banerjee A, Biswas PK, Sain C The Comparative Study between Different Performance Indices of a Permanent Magnet Synchronous Motor (PMSM) Drive on Variable Sensor Angle International Conference on Power Electronics Systems and Applications (PESA), Hong Kong Polytechnic University, Hong Kong 2015:1–6 [119] Song JH, Choy I Commutation Torque Ripple Reduction in Brushless DC Motor Drives using a Single DC Current Sensor IEEE Transactions on Power Electronics 2004; 19 (2):312–319 [120] Blomqvist E, Thollander P An Integrated Dataset of Energy Efficiency Measures Published as linked open data, Energy Efficiency 2015; (6):1125–1147 [121] Wandhare RG, Agarwal V Novel Integration of a PV-Wind Energy System with Enhanced Efficiency IEEE Transactions on Power Electronics 2015; 30 (7):3638–3649 [122] Torregrossa D, Peyraut FO, Fahimi B, Boua JM, Miraoui A Multi-Physics FiniteElement Modelling for Vibration and Acoustic Analysis of Permanent Magnet Synchronous Machine IEEE Transactions on Energy Conversion 2011; 26 (2):490–500 [123] Boldea I, Tutelea LN, Parsa L, Dorrell D Automotive Electric Propulsion Systems with Reduced or No Permanent Magnets: An Overview IEEE Transactions on Industrial Electronics 2014; 61 (10):5696–5711 [124] Sain C, Banerjee A, Biswas PK Comparative Performance Study for Closed Loop Operation of an Adjustable Speed Permanent Magnet Synchronous Motor Drive with Different Controllers International Journal of Power Electronics and Drive Systems 2016; (4):1085–1099, doi:10.11591/ijpeds.v7.i4 [125] Biswas PK, Banerjee A, Sain C Design and Development of a Closed Loop Model of an Adjustable Speed Permanent Magnet Synchronous Motor (PMSM) Drive using PI Controller International Conference on Power Electronics Systems and Applications, Hong Kong Polytechnic University, Hong Kong 2015:1–5 [126] Elleuch I, Khedher A, Othman KB Design of a Proportional Integral Observer based on Sliding Mode Principle for Uncertain Takagi-Sugeno Fuzzy Systems: Applications to a Turbo-Reactor International Journal of Automation and Control 2018; 18 (2):179–194 [127] Fereidouni A, Masoum M, Moghbel M A New Adaptive Configuration of PID Type Fuzzy Logic Controller ISA Transactions 2015; 56:222–240 [128] Martnez CM, Hu X, Cao D, Velenis E, Gao B, Weller M Energy Management in Plug-In Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective IEEE Transactions on Vehicular Technology 2017; 66 (6):4534–4549 [129] Sain C, Banerjee A, Biswas PK, Sudhakar Babu T, Azhar AT Design and Optimization of a Fuzzy-PI Controlled Improved Inverter based PMSM Drive Employed in Light Weight Electric Vehicle International Journal of Automation and Control, Inderscience Publications, 2020, 16 (3–4):459–488 [130] Sain C, Banerjee A, Biswas PK, Sudhakar Babu T Updated PSO Optimized Fuzzy-PI Controlled Buck Type Multi-Phase Inverter Based PMSM Drive with an Over-Current Protection Scheme IET Electric Power Applications, 2020, 14 (12):2331–2339, doi:10.1049/iet-epa.2020.0165 [131] Sain C, Banerjee A, Biswas PK A Comprehensive Study on Various Topologies of Permanent Magnet Motor Drives for Electric Vehicles Application Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles (ISBN: 978-1-119-68190–8), Scrivener Publishing, Wiley; 2020 References and Further Reading 145 [132] Sain C, Banerjee A, Biswas PK Modelling and Comparative Dynamic Analysis due to Demagnetization of a Torque Controlled Permanent Magnet Synchronous Motor Drive for Energy-Efficient Electric Vehicle ISA Transactions, Elsevier, 2020, 97:384–400, doi:10.1016/j.isatra.2019.08.008 [133] Wang G, Zhan H, Zhang G, Gui X, Xu D Adaptive Compensation Method of Position Estimation Harmonic Error for EMF-Based Observer in Sensorless IPMSM Drives IEEE Transactions on Power Electronics 2014; 29 (6):3055–3064 [134] Zeng Z, Zhu C, Jin X Hybrid space vector modulation strategy for torque ripples minimization in three-phase four-switch inverter-fed PMSM drives IEEE Transactions on Industrial Electronics 2017; 64 (3): 2122–2134 Taylor & Francis Taylor & Francis Group http://taylorandfrancis.com Index Note: Bold page numbers refer to tables and italic page numbers refer to figures air quality 12 Akatsu K Ameur A artificial intelligence (AI) 74 Arumugam P axial field machines Daziano RA decoupling-controlled surface-mounted permanent magnet synchronous motor drive 111, 134, 135 defuzzification 89 demagnetization 49 Belie Brock S electricity electric motors electric propulsion system 1, 5, 81, 109 electric scooter 81 electric vehicles 7, electric vehicle technology 81 electromagnetic torque 24, 37, 38, 52 energy consumption energy-efficient electric vehicle case study 125–126, 126–130, 128–130 current control technique 110 electric propulsion system 109 Euler’s integration approach 110 experimental investigation 130–134, 131, 131, 132, 133 mathematical model 111–115, 112, 114 acceleration 117 aerodynamic design 117 electromagnetic torque 117 hysteresis current controller 116, 117 performance characteristics 122, 123, 123, 124, 124, 125 permanent magnet materials 110 permanent magnet technology 109 simulation results 118, 119 , 120–122 torque pulsations 110 energy management system 11 Ewing G Cai R Cao W Chaoui H Chen C Chen HC Chiew E Choudhury et al (2014) closed-loop control strategy current control loop 52, 53 current control unit 51 electromagnetic torque 52, 54 fuzzy logic controller 73–74, 74, 75 development 75, 76, 76 dynamic performance 78, 79 dynamic performance evaluation 75–77, 76, 77 performance indices 77, 78, 79 mathematical model 51, 52 proportional integral controller (see proportional integral (PI) controller) proportional integral derivative control technique 61–63 quadrature axis voltage 52 simplified speed control loop 52, 53 simplified structure 51 speed transfer function 54 two-loop control structure representation 51, 51 using lead-lag speed compensator 60, 60–61, 61, 62 using lead speed compensator 56, 58, 58–60, 59 closed-loop control system 3–4 closed-loop speed transfer function 54 comparative dynamic behaviour 51, 111, 120, 134, 136 current source inverter (CSI) 5, 19, 41, 44, 82, 107, 130, 135 faster dynamic response fast Fourier transform (FFT) analysis 95, 96, 105 Flieller D flux density flux linkage 87 fuzzy-controlled PWM design considerations 88–89, 89, 90, 91 experimental results 100–101, 101, 101–106, 103–106 light electric vehicle 91, 91–92 simulation results 92–96, 92–99, 98 147 148 fuzzy control technique 73–74, 74, 75; see also closed-loop control strategy development 75, 76, 76 dynamic performance 78, 79 dynamic performance evaluation 75–77, 76, 77 performance indices 77, 78, 79 fuzzy interface system 89, 89 fuzzy logic-based fault diagnosis method 4–5 fuzzy speed controller 88–89, 89, 90, 91, 135 Galus MD Garimella S Glerum et al (2013) gravitational search algorithm (GSA) Han X hardware inverter circuitry 82 high-energy density 5, 109 Huang H Huang J hybrid technique Idkhajine et al (2009) information and communication technology (ICT) intelligent control strategies 81 interaction torque 88 inverter current source inverter 5, 19, 41, 44, 82, 107, 130, 135 power switches in 18 voltage source inverter 17–18, 50, 135 ‘inverter sub-system block’ 86 Jung JW Kwon et al (2014) Kwon TS lead-lag speed compensator 60, 60–61, 61, 62 lead speed compensator 56, 58, 58–60, 59 light electric vehicle 91, 91–92 Li S load torque component (Tl) 37 Lu magneto motive force (MMF) 1, 17 ‘MAMDANI’-type fuzzy interface system 88 mathematical model 17–18, 111–115, 112, 114 acceleration 117 aerodynamic design 117 case study 37–38, 37–39 closed-loop PMSM drive 51, 51–55, 52, 53 DC link voltages 39, 40, 41 development 19–20, 20 Index abc-dq0 matrix transformation 21–22 PMSM machine 22–25, 23, 24 three-phase voltage source inverter topology 20–21, 21 electromagnetic torque 117 energy-efficient electric vehicle (see energyefficient electric vehicle) experimental results 41, 43, 43, 43–44, 44–48, 46–47 hysteresis current controller 116, 117 load torques 41, 42 rotor position estimation 25–27, 26, 27 sensor angle 25–27, 26, 27 sensor angle-based optimization 30–35, 31, 32, 34–36 mathematical modelling 2–3 MATLAB® 86 mechanical commutator Mehta et al (2016) Melkebeek Meng et al (2018) Mobility House 10, 11 MOSFET 43 Nakao N noise monitor 12 Ortega AJP Panda SK Parks et al (2007) Peng permanent magnet synchronous motor (PMSM) 1, 135, 136 phase voltage waveform 33 power switches, in inverter 18 proportional integral (PI) controller 50, 82 bode plot response 55, 56 proportional and integral gains 55 vs proportional integral derivative control technique 63–70, 64–70 root locus response 55, 57 simplified block diagram representation 55, 55 sub-systems 83, 84–85 time domain characteristics 55, 56 torque response 55, 57 proportional integral derivative (PID) control technique 4, 61–63 vs proportional integral controller 63–70, 64–70 pulse width modulation (PWM) 3, 50, 81–82, 135 Qian W radial field machines Ramesh T 149 Index renewable energy sources Richardson DB Robinson AP rotor position estimation 47 Runge–Kutta numerical computation 28 Sarigöllü E self-monitoring analysis and reporting technology (Smart) 9–12, 10, 11 sensorless control method sensor position information 25–27, 26, 27 sensors 18 SIEMENS Technology solution 10, 10 Simulink® model 86 Singh B sinusoidal pulse width modulation (SPWM) 4, 82 smart charging system 11 smart electric vehicle 10, 11 industrial linkage in 12–13 smart grid technology smart parking system 12 Soares et al (2011) solar-powered drive 7–9 solar-powered electric vehicle 9–12, 10, 11 speed control technique Sul SK switching combinations 86, 86 Taylor J three-phase line- to-line voltages 87 torque pulsations torque ripple 39 torque-speed curve 34, 48 total harmonic distortion (THD) 87 traffic congestion management 12 Tseng et al (2015) Vafaie MH voltage source inverter (VSI) 17–18, 50, 135 wireless power transfer (WPT) 13 Xi Xiao X Yan H Zakariazadeh et al (2015) zero-sequence voltage Taylor & Francis eBooks www.taylorfrancis.com A single destination for eBooks from Taylor & Francis with increased functionality and an improved user experience to meet the needs of our customers 90,000+ eBooks of award-winning academic content in Humanities, Social Science, Science, Technology, Engineering, and Medical written by a global network of editors and authors TA YLOR & FRANCIS EBOOKS OFFERS: A streamlined experience for our library customers A single point of discovery for all of our eBook content Improved search and discovery of content at both book and chapter level REQUEST A FREE TRIAL support@taylorfrancis.com ... http://­iitram.ac.in/­facultydetails.php?fac_id=9 Control Strategies of Permanent Magnet Synchronous Motor Drive for Electric Vehicles Chiranjit Sain, Atanu Banerjee and Pabitra Kumar Biswas Control Strategies of ? ?Permanent Magnet ? ?Synchronous. .. ­SelfControlled Permanent Magnet Synchronous Motor Drive 2.1 INTRODUCTION With the recent advancements of permanent magnet materials and some advanced control techniques, permanent magnet synchronous motor. .. Representation of a simplified permanent magnet synchronous motor (­PMSM) drive with speed and current controller 51 ­Figure 3.3   Block diagram of the proposed simplified permanent magnet synchronous motor

Ngày đăng: 18/03/2023, 09:23

Xem thêm: