Genetic Algorithms Optimization of Tuning Parameters of Generalized Predictive Control

被引：0
|
作者：
Mouhou, Abdelaziz [1 ]
Badri, Abdelmajid [1 ]
Ballouk, Abdelhakim [1 ]
Sayouti, Yassine [1 ]
机构：
[1] Hassan II Univ Mohammedia, Fac Sci & Technol, Lab Elect Energy Automat & Data Proc EEA&TI, BP 146-20650, Casablanca, Morocco
来源：
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT 2017) | 2017年
关键词：
generalized predictive control; Synthesis parameters; Evolutionary algorithms; CARIMA model; Genetic algorithms; asynchronous motor;
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：
This paper concentrates on the optimization of synthesis parameters of generalized predictive control (GPC) using genetic algorithms (GAs), namely the minimum prediction horizon, the maximum prediction horizon, the control horizon and the cost weighting factor. This, aims to improve the closed-loop performances. To validate this technique, our application relates to control the speed of asynchronous motor. The results obtained are discussed and presented.
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页数：5
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