An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process

›› 2009, Vol. 17 ›› Issue (1): 100-107.

An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process

陆妹^1,2, 金成波³, 邵惠鹤¹

1. Institute of Automation, Shanghai Jiao Tong University, Shanghai 200240, China;
2. Department of Fieldbus, Shanghai Automation Instrument Co., Ltd., Shanghai 200233, China;
3. Department of Product Design, Shanghai GaoKe Valve Manufactory Co., Ltd., Shanghai 200092, China

收稿日期:2007-08-21 修回日期:2008-08-06 出版日期:2009-01-28 发布日期:2009-01-28
通讯作者: LU Mei, E-mail: lumei7718@163.com
基金资助:
Supported by the National High Technology Research and Development Program of China(2004AA412050)

An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process

LU Mei^1,2, JIN Chengbo³, SHAO Huihe¹

1. Institute of Automation, Shanghai Jiao Tong University, Shanghai 200240, China;
2. Department of Fieldbus, Shanghai Automation Instrument Co., Ltd., Shanghai 200233, China;
3. Department of Product Design, Shanghai GaoKe Valve Manufactory Co., Ltd., Shanghai 200092, China

Received:2007-08-21 Revised:2008-08-06 Online:2009-01-28 Published:2009-01-28
Supported by:
Supported by the National High Technology Research and Development Program of China(2004AA412050)

摘要/Abstract

摘要： A finite horizon predictive control algorithm,which applies a saturated feedback control law as its local control law,is presented for nonlinear systems with time-delay subject to input constraints.In the algorithm,N free control moves,a saturated local control law and the terminal weighting matrices are solved by a minimization problem based on linear matrix inequality(LMI) constraints online.Compared with the algorithm with a nonsaturated local law,the presented algorithm improves the performances of the closed-loop systems such as feasibility and optimality.This model predictive control(MPC) algorithm is applied to an industrial continuous stirred tank reactor(CSTR) with explicit input constraint.The simulation results demonstrate that the presented algorithm is effective.

关键词: predictive control, fuzzy system, time-delay, saturated control law

Abstract: A finite horizon predictive control algorithm, which applies a saturated feedback control law as its local control law, is presented for nonlinear systems with time-delay subject to input constraints.In the algorithm, N free control moves, a saturated local control law and the terminal weighting matrices are solved by a minimization problem based on linear matrix inequality(LMI) constraints online.Compared with the algorithm with a nonsaturated local law, the presented algorithm improves the performances of the closed-loop systems such as feasibility and optimality.This model predictive control(MPC) algorithm is applied to an industrial continuous stirred tank reactor(CSTR) with explicit input constraint.The simulation results demonstrate that the presented algorithm is effective.

Key words: predictive control, fuzzy system, time-delay, saturated control law

陆妹, 金成波, 邵惠鹤. An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process[J]. , 2009, 17(1): 100-107.

LU Mei, JIN Chengbo, SHAO Huihe. An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process[J]. , 2009, 17(1): 100-107.

参考文献

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An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process

An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process

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