| 改进的模糊预测控制算法及其在CSTR过程中的应用 |
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| 引用本文： | 陆妹,金成波,邵惠鹤.改进的模糊预测控制算法及其在CSTR过程中的应用[J].中国化学工程学报,2009,17(1):100-107. |
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| 作者姓名： | 陆妹 金成波 邵惠鹤 |
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| 作者单位： | 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 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 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.
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| 关 键 词： | predictive control fuzzy system time-delay saturated control law |
| 收稿时间： | 2007-8-21 |
| 修稿时间： | 2007-8-21
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An Improved Fuzzy Predictive Control Algorithm and Its Application to an Industrial CSTR Process |
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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].Chinese Journal of Chemical Engineering,2009,17(1):100-107. |
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| Authors: | LU Mei JIN Chengbo SHAO Huihe |
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| Affiliation: | 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 |
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| 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. |
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| Keywords: | predictive control fuzzy system time-delay saturated control law |
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