Adaptive Weighting Decoupling Design for Constrained Generalized Predictive Control Using Improved Genetic Algorithm

被引：0

作者：

Dai, Yongbin ^{[1
]}

机构：

[1] Liaoning Univ Technol, Sch Software, Jinzhou, Peoples R China

来源：

MACHINERY ELECTRONICS AND CONTROL ENGINEERING III | 2014年 / 441卷

关键词：

generalized predictive control; adaptive error weighting; decoupling; constraint; genetic algorithm;

D O I：

10.4028/www.scientific.net/AMM.441.829

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper proposes a new method for decoupling multivariable system based on generalized predictive control (GPC) with constrains. It is the main idea of proposed control method that the error weight can change with output deviation caused by reference changes in order to reduce interactions in the system and improve dynamic performance of coupling loops. With improved genetic algorithm to optimize the performance index of GPC, the algorithm is applied to auto shape control and auto gauge control (ASC-AGC). The simulation results demonstrate the efficiency and correctness of approach proposed.

引用

页码：829 / 832

页数：4

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[4]

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