A Multi-objective Predictive Control Method for Model Mismatch

被引：0

作者：

Shi Hong-yan ^{[1
,2
]}

Wang Liang ^{[2
]}

Wang Guo-gang ^{[1
]}

机构：

[1] Shenyang Univ Chem Technol, Sch Informat Engn, Shenyang 110142, Peoples R China

[2] Chinese Acad Sci, Shenyang Inst Automat, Key Lab Ind Informat, Shenyang 110016, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

Nonlinear; Model Mismatch; Multi-Objective Predictive Control; Multi-Objective Particle Swarm Optimization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a multi-objective predictive control method was presented for model mismatch of nonlinear system. Predictive control was restored to multi-objective control, then more Pareto solutions were obtained and pseudo-weighted vector were computed by using multi-objective particle swarm optimization algorithm. Finally, the model error probability distribution was used to select the optimal solution as a control input for controlling object. Proposed three control performance index, that smoothness index, the average error index and quadratic performance index, based on three index a nonlinear system was simulated. Results show that when the nonlinear system model mismatch, the multi-objective predictive control performance better, and a good control effect was achieved.

引用

页码：4207 / 4211

页数：5