Model Predictive Control Part 2 pot

... 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...

Ngày tải lên: 21/06/2014, 03:20

... here. 22 Advanced Model Predictive Control Fast Model Predictive Control and its Application to Energy Management of Hybrid Electric Vehicles 25 Ling, K.V.; Wu, B.F. & Maciejowski, J.M. (20 08). ... model predictive control , American Control Conference, Portland, OR, pp. 4166-71. Abonyi J. (20 03) Fuzzy Model identification for control, Birkhauser Boston. Ad...

Ngày tải lên: 19/06/2014, 19:20

... are modeled by the state-space model equations: 1 12 2 12 20 input dh AQQ dt dh AQQ dt   (15) where the flows obey Bernoulli’s equation [16] , i.e. 1 /2 12 1 1 2 1 2 s g n( ) (2 )QShhghh   ... achieve 77 Distributed Model Predictive Control Based on Dynamic Games Improved Nonlinear Model Predictive Control Based on Genetic Algorithm 57 0 1 2 3...

Ngày tải lên: 19/06/2014, 19:20

... () () 22 63 .28 58 .21 ln wvac vac P λ =−⋅ (A-56) () 22 57.51 85.95 ln ss P λ =−⋅ (A-57) 2 2 323 .3 4106.7 www HTT=+⋅+ (A-58) 2 () () () 23 23.3 4106.7 ws ws ws HTT=+⋅+ (A-59) () 24 91860 1 327 0 ... 4. Controlled (Volume of massecuite) and control variables (F f - feed flowrate) over time for the 1 st control loop. Advanced Model Predictive Control 24 2...

Ngày tải lên: 19/06/2014, 19:20

... (min) TAD2 DE DP inch H2O 1.0 3.5 40 .26 -3.14 12. 82 2 1 (min) TAD2 Gap Prs inch H2O 0 .2 1.5 -16.40 4 .25 3.86 5 0 .2 (max) Model Predictive Control and Optimization for Papermaking Processes 325 Where ... solving a set of nonlinear equations: () () () () 11 dw dw 1 2 3 1 2 3 22 dw dw 1 2 3 1 2 3 11 moi moi 1 2 3 1 2 3 22 moi moi 1 2 3 1 2 3 y f u ,u ,u ,...

Ngày tải lên: 19/06/2014, 19:20

... / J C 10 1 10 2 10 4 10 3 10 5 10 12 14 16 18 20 22 0 0.5 1 1.5 24 N R J A / J B 10 1 10 2 10 4 10 3 10 5 Z= 0.5 10 12 14 16 18 20 22 0 0.5 1 1.5 24 N R J A / J C 10 1 10 2 10 4 10 3 10 5 10 12 14 16 18 20 22 0 0.5 1 1.5 24 N R J A ... 3.0 10 12 14 16 18 20 22 0 0.5 1 1.5 24 N R J A / J C 10 1 10 2 10 4 10 3 10 5 10 12 14 16 18 20 22 0 0.5 1 1...

Ngày tải lên: 19/06/2014, 19:20

... Max(Torque) Torque overshoot PID+FF 3 .22 3 53.48 0.4 82 2031 85 PID+FF+Fuzzy 3.443 63.48 0.7 02 2100 86 DMCDM 3 .22 0 53.33 0. 428 21 01 133 GPCDM 2. 655 26 .43 0. 129 20 55 36 Table 1. Experimental results ... Francisco USA, 1996. [25 ] Mosca E. y Zhang J. “Stable redesign of predictive control . Automatica, Vol. 28 , pp. 122 9– 123 3, 19 92. [26 ] Nuñez A., Cuei...

Ngày tải lên: 19/06/2014, 19:20

... 3) 0 5 10 15 20 25 30 35 40 6:14 6 :21 6 :28 6:34 6:41 6:48 6:54 7:01 7:08 7:14 7 :21 7 :28 7:34 7:41 7:48 7:54 8:01 8:08 8:14 8 :21 8 :28 8:34 8:41 8:48 8:54 3 :26 3:40 3:53 4:06 4 :20 4:33 4:46 5:00 5:13 5 :26 5:40 5:53 6:06 6 :20 6:33 6:46 7:00 7:13 7 :26 7:40 10 12 14 16 18 20 22 24 26 28 30 < ... Control (Cell 3) 0 0 .2 0.4 0.6 0.8 1 1 .2 1.4 -3 -2. 8 -2. 5...

Ngày tải lên: 19/06/2014, 19:20

... 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 + ... 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...

Ngày tải lên: 20/06/2014, 11:20

... switching loss for N p = 5 (left: v o , right: i l ). 2. 0 2. 2 2. 4 2. 6 2. 8 3.0 2 0 2 4 6 time [ms] switching signal u(t) 2. 0 2. 2 2. 4 2. 6 2. 8 3.0 2 0 2 4 6 time [ms] switching signal u(t) Fig. 11. Experimental ... switching loss for N p = 5 (left: v o , right: i l ). 2. 0 2. 2 2. 4 2. 6 2. 8 3.0 2 0 2 4 6 time [ms] switching signal u(t) 2. 0 2. 2 2. 4 2....

Ngày tải lên: 20/06/2014, 11:20