Research On Tuning Parameters for a Model Predictive Controller Based on CSA In CSTR Process

被引：0

作者：

Jiang Wenli ^{[1
]}

Shi Xuhua ^{[1
]}

Chen Yang ^{[2
]}

Chen Yongqi ^{[2
]}

Zhao Jun ^{[3
]}

Xu Zuhua ^{[3
]}

机构：

[1] Ningbo Univ NBU, Fac Informat Sci & Engn, Ningbo, Zhejiang, Peoples R China

[2] Ningbo Univ, Coll Sci & Technol, Ningbo, Zhejiang, Peoples R China

[3] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou, Zhejiang, Peoples R China

来源：

2015 CHINESE AUTOMATION CONGRESS (CAC) | 2015年

关键词：

cstr; model predictive control (MPC); clonal selection Algorithm(CSA); sequential quadratic Programming(SQP); events trigger;

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：

Continuous Stirred Tank Reactor (CSTR) is a typical and high nonlinear process in process industry. It is difficult to control CSTR process. MPC is an advanced control strategy. But it is hard to tune the MPC parameters. A hybrid algorithm is presented to solve this difficulty and this algorithm is based on the immune clonal selection algorithm and sequential quadratic programming. The framework of tuning parameters based on events trigger is introduced in case of uncertain disturbance. Finally, simulation experiments were done with this algorithm in CSTR. Comparison with the results of set point control proved that the proposed method is more effective than other tuning methods and can be used to control CSTR process

引用

页码：247 / 252

页数：6

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