Vibration Control Part 6 potx

Vibration Control Part 6 potx

Vibration Control Part 6 potx

... Quantity AMD control 30.0 43.3 58.7 59.9 265 1 STI control (in this part) 33.2 46. 5 61 .3 62 .7 372~527 76 STI control (Ou, 2003) 33.5 - 46. 8 - 110~1500 20 Table 5. Comparison of AMD control ... control (b) AMD control Fig. 42. Sketch of control force and counter force between active control system and structure Parameter AMD control STI control Q ma...

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Advances in PID Control Part 6 potx

Advances in PID Control Part 6 potx

... - 0.5 - 0.25 β p - - 1. 161 2 0.0087 β i - - 1.1343 0.12 06 γ p - - 0.0151 0.1142 γ i - - 0.1 363 0. 167 1 α p - - - 0.0011 α i - - - 0.71 26 Table 2. Course Control Problem: controller parameters used ... Figure 6. Again, the comparison 0 10 20 30 40 50 60 70 −0.8 −0 .6 −0.4 −0.2 0 0.2 0.4 0 .6 Time (s) y(t) Reference signal PI VIPI API FAPI 45 50 55 60 −0.8 −0 .6 −0.4 −0.2 0...

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Vibration Control Part 2 potx

Vibration Control Part 2 potx

... control system is usually more complicated than a passive vibration control scheme, an AVC technique has many advantages over a passive vibration control technique. In (Fuller et al., 19 96) ... active magnetic control. Many of the control strategies employed fall into a class which the authors have termed adaptive open loop control. Electromechanical Dampers for Vibratio...

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Vibration Control Part 10 potx

Vibration Control Part 10 potx

... Smart Structures. Smart Materials and Structures, Vol. 3, pp. 266 -2 76. Vibration Control 2 36 Another type of semi-active control, which has been receiving much attention in recent years, ... Self-Organizing Fuzzy Controller for the Active Vibration Control of a Smart Truss Structure 217 The self-organizing fuzzy controller is a rule-based type of controller which lea...

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Model Predictive Control Part 6 potx

Model Predictive Control Part 6 potx

... Robust and Nonlinear Control 13: 229–2 46. Model predictive control of nonlinear processes 109 Model predictive control of nonlinear processes Author Name x Model predictive control of nonlinear ... optimality, Automatica 36: 789–814. Michalska, H. & Mayne, D. Q. (1993). Robust receding horizon control of constrained nonlin- ear systems, IEEE Trans. on Automatic Control 3...

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Vibration Analysis and Control New Trends and Developments Part 6 potx

Vibration Analysis and Control New Trends and Developments Part 6 potx

... most useful for controlling small movements with large forces, see Fig. 6. 6 A Semiactive Vibration Control Design for Suspension Systems with Mr Dampers Hamid Reza Karimi Department of Engineering, ... k t ¨ z r (3) 134 Vibration Analysis and Control – New Trends and Developments Vibration Analysis and Control – New Trends and Developments 130 Y. Shen, M.F. Golnaragh...

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RECENT ADVANCES IN ROBUST CONTROL – NOVEL APPROACHES AND DESIGN METHODSE Part 6 potx

RECENT ADVANCES IN ROBUST CONTROL – NOVEL APPROACHES AND DESIGN METHODSE Part 6 potx

... (Taha et al., 2003; Roberge, 1 960 ; Dorf, 1 967 ; Ogata, 1970; Higdon, 1 963 ; Truxal, 1 965 ; Lundberg, 2003; Phillips, 1994; Siebert, 19 86) . The combination of sliding controllers with state observers ... chattering reduction and improved tracking in sliding mode control (SMC), ASME J. of Dynamic Systems, Measurement, and Control, Vol. 125, pp 66 5- 66 9. Thompson, D. F. (1998)...

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Artificial Neural Networks Industrial and Control Engineering Applications Part 6 potx

Artificial Neural Networks Industrial and Control Engineering Applications Part 6 potx

... Alabama 67 9 6. 05-34.80 Alaska 51 8 .65 -27.42 Arizona 10 18.54-24. 36 Arkansas 52 5.57-34 .68 Colorado 172 7.24-33.81 Georgia 25 24.03-34.85 Indiana 101 19.23-28. 96 Iowa 73 16. 03- 26. 59 Kansas ... 19 20.87-28. 86 Kentucky 720 18 .68 -34.03 Maryland 40 23.04-33.48 Missouri 68 23.83-28 .63 Montana 140 5.55-20 .63 New Mexico 114 8.81-32.15 North Dakota 124 4.85-13 .61...

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Robust Control Theory and Applications Part 6 potx

Robust Control Theory and Applications Part 6 potx

... Consider the uncertain system (1), (2) where 4. 365 0 .67 23 0.3 363 2.3740 0.7485 7.0880 6. 5570 4 .60 10 1. 366 0 3.4440 2.4100 7.5840 14.3100 0.9 461 9 .61 90 AB −− − ⎡⎤⎡⎤ ⎢⎥⎢⎥ =−− = ⎢⎥⎢⎥ ⎢⎥⎢⎥ −− − ⎣⎦⎣⎦ ... Nonlinear Control, Vol. 7, pp. 59-74. Li, X. & De Carlo, R. A. (2003). Robust sliding mode control of uncertain time-delay systems, International Journal of Control, Vol....

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Adaptive Control 2011 Part 6 potx

Adaptive Control 2011 Part 6 potx

... () p p y ua b Ws s = + = , (1) Adaptive Control 128 Fig. 6. Multirate gains Fig. 7. Adaptive control parameters Discrete Model Matching Adaptive Control for Potentially Inversely Non-Stable ... example such gains are α=− 1 62 1.87 06 , α= 2 848.4241 and α=− 3 297.4 867 so that ′ ==++ 2 B(z) B (z) z z 0.25 and then both zeros are placed at =− 0 z0.5. The contr...

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