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

陆妹; 金成波; 邵惠鹤

doi:10.1016/S1004-9541(09)60040-9

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

Updated：2026-01-06

- An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process
- Chinese Journal of Chemical Engineering Vol. 17, Issue 1, Pages: 100-107(2009)
- Affiliations：
  
  1. Institute of Automation, Shanghai Jiao Tong University,Shanghai,China,200240
  2. Department of Fieldbus, Shanghai Automation Instrument Co., Ltd.,Shanghai,China,200233
  3. Department of Product Design, Shanghai GaoKe Valve Manufactory Co., Ltd.,Shanghai,China,200092
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(09)60040-9
  CLC：
- Published：2009
- Accepted：
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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.
DOI：

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. DOI： 10.1016/S1004-9541(09)60040-9.

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

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.

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

free control moves

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.

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