自动化技术、电信技术 |
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基于动态PLS框架的多变量无静差预测控制 |
金鑫, 梁军 |
浙江大学 控制科学与工程学院,浙江 杭州 310027 |
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Multivariable offset free model predictive control in dynamic PLS framework |
JIN Xin, LIANG Jun |
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027,China |
[1] MUSKE K R, RAWLINGS J B. model predictive control with linear models [J]. Aiche Journal, 1993,39(2): 262-287.
[2] LJUNG L. System identification theory for the user. prentice hall information and system sciences series [M]. 2nd ed. Upper Saddle River: Prentice Hall,1999:79-99.
[3] HUUSOM J K, POULSEN N K, JORGENSEN S B, et al. Adaptive disturbance estimation for offset free SISO model predictive control [C]∥ Proceedings of the American Control Conference. New York:\[s.n.], 2011:2417-2422.
[4] MUSKE K R, BADGWELL T A. Disturbance modeling for offset free linear model predictive control [J]. Journal Of Process Control, 2002, 12(5): 617-632.
[5] MORARI M, MAEDER U. Nonlinear offset free model predictive control [J]. Automatica, 2012, 48(9):2059-2067.
[6] BORRELLI F, MORARI M. Offset free model predictive control [C]∥ Proceedings of Ieee Conference onDecision And Control. New Orleans: [s.n.], 2007: 46634668.
[7] MAEDER U, BORRELLI F, MORARI M. Linear offset free model predictive control [J]. Automatica, 2009, 45(10): 2214-2222.
[8] MAEDER U, MORARI M. Offset free reference tracking with model predictive control [J]. Automatica, 2010, 46(9): 1469-1476.
[9] BETTI G, FARINA M, SCATTOLINI R, et al. An MPC algorithm for offset free tracking of constant reference signals [C]∥ 2012 IEEE 51st Annual Conference on Decision And Control. Maui: IEEE, 2012:5182-5187.
[10] BETTI G, FARINA M,SCATTOLINI R. A robust MPC algorithm for offset free tracking of constant reference signals [J]. IEEE Transactions on Automatic Control, 2013, 58(9): 2394-2400.
[11] KASPAR M H, RAY W H. Chemometric methods for process monitoring and high performance controller design [J]. AIChE Journal, 1992, 38(10): 1593-1608.
[12] KASPAR M H,RAY W H. Dynamic PLS modelling for process control [J]. Chemical Engineering Science, 1993, 48(20): 3447-3461.
[13] CHEN J, CHENG Y C, YEA Y. Multiloop PID controller design using partial least squares decoupling structure [J]. Korean Journal of Chemical Engineering, 2005, 22(2): 173-183.
[14] LAUR D, MART NEZ M, SALCEDO J V, et al. PLS based model predictive control relevant identification: PLS PH algorithm [J]. Chemometrics and Intelligent Laboratory Systems, 2010, 100(2): 118-126.
[15] HU B, ZHENG P, LIANG J. Multi loop internal model controller design based on a dynamic PLS framework [J]. Chinese Journal of Chemical Engineering, 2010, 18(2): 277-285.
[16] HU B, ZHAO Z, LIANG J. Multi loop nonlinear internal model controller design under nonlinear dynamic PLS framework using ARX neural network model [J]. Journal of Process Control, 2012, 22(1): 207-217.
[17] LV Y, LIANG J. Multi loop constrained iterative model predictive control using ARX PLS decoupling structure [J]. Chinese Journal of Chemical Engineering, 2013, 21(10): 1129-1143.
[18] WOLD S, SJOSTROM M, ERIKSSON L. PLS regression: a basic tool of chemometrics [J]. Chemometrics And Intelligent Laboratory Systems, 2001, 58(2): 109-130.
[19] LAKSHMINARAVANAN S, SHAH S L, NANDAKUMAR K. Modeling and control of multivariable processes: dynamic PLS approach [J]. AIChE Journal, 1997, 43(9): 2307-2322.
[20] MORI J, YU J. A quality relevant non gaussian latent subspace projection method for chemical process monitoring and fault detection [J]. Aiche Journal, 2014,60(2): 485-499.
[21] MACIEJOWSKI J. M. Predictive control: with constraints [M]. Upper Saddle River: Prentice Hall,2002.
[22] HUUSOM J K, POULSEN N K, JORGENSEN S B, et al. Tuning SISO offset free model predictive control based on ARX models [J]. Journal of Process Control, 2012, 22(10): 1997-2007.
[23] JEROME N F, RAY W H. High performance multivariable control strategies for systems having timedelays [J]. Aiche Journal, 1986, 32(6): 914931.
[24] ZHAO Z, HU B, LIANG J. Multi loop adaptive internal model control based on a dynamic partial least squares model [J]. Journal Of Zhejiang University: Science A, 2011, 12(3): 190-200 |
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