Tuning of Generalized Predictive Controllers for First Order plus Dead Time Models Based on ANOVA

被引：0

作者：

Ebrahimi, Zahed ^{[1
]}

Bagheri, Peyman ^{[2
]}

Khaki-Sedigh, Ali ^{[1
]}

机构：

[1] KN Toosi Univ Technol, Dept Elect Engn, Ctr Excellence Ind Control, Tehran, Iran

[2] Univ Tabriz, Fac Elect & Comp Engn, Dept Control Engn, Tabriz, Iran

来源：

2015 23RD IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2015年

关键词：

Model predictive control; generalized predictive control; controller tuning; analysis of variances; first order plus dead time models; STRATEGY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Successful implementation of predictive controller requires an appropriate tuning of its parameters. Closed form tuning equations are practically rewarding as they can be easily implemented with relatively low computational costs. In this paper, a tuning strategy for the generalized predictive control of single input-single output and multi input-multi output plants is presented. First order plus dead time model of the plant is considered and analysis of variance and nonlinear fitting is employed to derive tuning equations. Finally, simulation results are used to verify the efficiency of the proposed tuning strategy.

引用

页码：928 / 933

页数：6

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