An evolutionary optimization-based design of Smith delay compensator for cascade control of MIMO time-delay industrial process

被引:0
作者
Neelbrata Roy
Anindita Sengupta
Ashoke Sutradhar
机构
[1] IIEST,Department of Electrical Engineering
来源
Soft Computing | 2022年 / 26卷
关键词
MIMO delay process; Smith predictor; Grey wolf optimizer (GWO); Nonsquare system; Centralized control;
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暂无
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学科分类号
摘要
In this paper, a cascade control structure with the modified Smith delay compensator for controlling nonsquare MIMO process is proposed. The proposed structure is designed with two disturbance estimators and a setpoint tracking controller. The estimators reject the disturbances in the forward path. These estimators also take part in delay compensation. The design of setpoint tracking controllers and disturbance estimators uses simple mathematical calculations as compared to the conventional IMC-based controllers. In the proposed design, Grey wolf optimization technique has been used to optimize the predictor. The closed-loop system produces the desired servo and regulatory response. The internal stability and robustness of the proposed MIMO cascade control structure have been analyzed. An example of a physical process has been included to illustrate the novelty of the proposed control strategy over multivariable PID controllers in terms of the time-domain performance and delay compensation. query Please check the edit made in the article title.
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页码:9339 / 9348
页数:9
相关论文
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