Model Predictive Control Part 15 pot

... Automatic Control, Vol .38 , No.11,19 93: 16 23- 1 633 Wei Chen, Gang Wu. Nonlinear Modeling of Two-Tank System and Its Nonlinear Model Predictive Control [A]. Proceedings of the 24th Chinese Control ... achieve 77 Distributed Model Predictive Control Based on Dynamic Games Improved Nonlinear Model Predictive Control Based on Genetic Algorithm 57 0 1 2 3 4 5 6 20...

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... centrifuged. 4. Model based predictive control The term model- based predictive control (MPC) does not refer to a particular control method, instead it corresponds to a general control approach ... (1) Advanced Model Predictive Control 236 Fig. 5. Controlled (Supersaturation) and control variables (F f - feed flowrate) over time for the 2 nd control loo...

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... large-scale model predictive control, in Journal of Process Control, Vol. 12, pp. 775 – 795. Bemporad, A., & Morari, M. (2004). Robust model predictive control: A survey. In Proc. of European Control ... continuous-time systems. Then, the control input u k is given as one of the elements of the following set: 346 Advanced Model Predictive Control Advanced Mod...

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... constrained model predictive control using linear matrix inequalities, Automatica Vol. 32: 136 1 137 9. Kwon, W. H. & Han, S. (2005). Receding Horizon Control: model predictive control for state models, Springer-Verlag, ... Sensing. Badgwell, T. A. (1997). Robust model predictive control of stable linear systems, Int. J. Control Vol. 68(No. 4): 797–818. 366 Advanced...

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... ard No Model Adapted Model Advanced Model Predictive Control 390 the high overshoot of the exhaust pressure. The control effort is one order of magnitude higher than the baseline controller. ... Zafirion E. “Robust model predictive control of process with hard constraints”. Comp. Chen. Eng., Vol. 14, pp. 359–371, 1990. [43] Zheng A. y Morari M. “Stability of mo...

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... is typically manually controlled due to the long time delays and Advanced Model Predictive Control 418 In addition to pulp moisture control, MPC was also used to control the pulp gramature ... Adaptive Control Based on Laguerre Series Representation , Int. J. Control, Vol. 48, No. 6, 2333-2359. Advanced Model Predictive Control 416 Lower production rates wil...

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... not considered during the controller synthesis process. 4.2 Nonlinear Predictive Controller Model predictive control (MPC) is suitable for constrained, digital control problems. Initially ... Structure of Semi-Active Controlled Shock Absorber Model predictive control refers to a class of control algorithms in which a dynamic model is used to predict and optimize co...

Ngày tải lên: 20/06/2014, 11:20

... from predictive model (44). Substituting control algorithm (36) to (33) we obtain x (t + 1 ) = D 1 (j)x(t) (38) where D 1 (j) = A j + B j K 1 (j) K 1 (j) = (I − F 12 CB j ) 1 (F 11 C + F 12 CA j ), ... A N 2 1 o B o A N 2 −N u o B o     (8) Model Predictive Control1 0 Fig. 1. Dynamic behavior of controlled system for unconstrained case for u(t) . B o =  ...

Ngày tải lên: 21/06/2014, 03:20

... system B ie =  G 11i G 12i G T 12i G 22 i  ≤ 0 i = 1, 2, N (46) where G 11i = N T 22 M ci + M T ci N 22 + C T F T 12 R 1 F 12 C + P i G T 12i = A T ci N 22 + N T 12 M ci + C T F T 11 R 1 F 12 C G 22 i = N T 12 A ci + ... kdiag{B o } nN 2 ×mN 2 C f = bloc kdiag{C } lN 2 ×nN 2 Remarks • Control algorithm for k = N 2 is u(t + N 2 − 1) = F N 2 N 2 y(t + N 2...

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... presented in Section 14.1.1. 13. 2.4 Closed-loop Stability Theorem 13. 11 (Main result). Given system (19), target Σ o x , and penalty L satisfying Assumptions 13. 1, 13. 2, 13. 3, 13. 5, assume the functions ... a terminal-constrained controller (i.e., X f ≡ {0}); however, this is not critical to the adaptation. Model Predictive Control4 4 C 13. 9 .3 k f (x, Θ) ∈ U, for all x ∈ X f (...

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... (-10; -5; -10; -5; -1; 0) 4181.6 1370.9 (10; 5; -10; -5; 1; 0) 3322 1406 (10; 5; -10; -5; -1; 0) 157 450 0000 1 452 .1 ( -5; -2; -10; -5; 1; 0) 1411.2 856 .1 (-10; -5; -5; -2; 1; 0) 154 7 .5 850 .9 ... (-10; -5; -10; -5; -1; 0) 4181.6 1370.9 (10; 5; -10; -5; 1; 0) 3322 1406 (10; 5; -10; -5; -1; 0) 157 450 0000 1 452 .1 ( -5; -2; -10; -5; 1; 0) 1411.2 856 .1 (-10; -5; -5; -2; 1;...

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... 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 ... T s refer process output, control action and sample time, respectively. 2. Model predictive control scheme Model predictive control (MPC) refers to a wide...

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... system Model Predictive Control1 20 4. Generalized predictive control The generalized predictive control (GPC) is a general purpose multi-step predictive control algorithm (Clarke et al., 19 87) ... and PI controller for 20% decrease in the feed rate of acetic acid. Model predictive control of nonlinear processes 121 4. Generalized predictive control The general...

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... 60 80 100 20% 40% 60% 80% Y1 0 20 40 60 80 100 0% 20% 40% 60% Y2 0 20 40 60 80 100 0% 50% 100 % Time (second) U Fig. 5. Control simulation: priority order [A] and p=1 Model Predictive Control1 78 ... 100 110 120 130 140 150 30% 40% 50% 60% 70% Y1 100 110 120 130 140 150 10% 20% 30% 40% 50% Time (second) Y2 Fig. 13. Steady-state control result when 3 g is complete...

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... (3) Off-line model predictive control of dc-dc converter 269 Off-line model predictive control of dc-dc converter Tadanao Zanma and Nobuhiro Asano 0 Off-line model predictive control of dc-dc ... system can provide a very effective control in the test network. Model Predictive Control2 56 3.2 Constraints of urban traffic control As store-and-forward modeling te...

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