Simulation and Optimization of asynchronous AC motor control by Particle Swarm Optimization (PSO) and Emperor Algorithm

被引：6
|
作者：
Afrozi, Masoud Nabipour [1 ]
Aghdam, Masoud Hassanpour
Naebi, Ahmad [1 ]
Aghdam, Saeed Hassanpour
机构：
[1] Qazvin Islamic Azad Univ, Qazvin, Iran
来源：
UKSIM FIFTH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS 2011) | 2011年
关键词：
Simulationt and Modelling; AC motor; PSO Algorithm; Emperor Algorithm;
D O I：
10.1109/EMS.2011.35
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In the present paper, the simulation and optimization of asynchronous AC motor through its controlling and modeling by convert d-q with Simulink of Matlab Software has been studied. By utilization of classic PI controller and also with phase controller has been optimized which membership function center of it has been optimized by new intelligent algorithms such as Emperor of PSO. The obtained results show that obtaining phase points by new intelligent controllers such as Emperor and PSO ones have better results than classic PID and fuzzy controllers. In fact the results of experiments show that the error of Emperor Algorithm is lower than PSO. Thus the emperor algorithm optimizes membership function centers of phase controllers better than PSO one. Simulation is implemented in Matlab Simulink.
引用
收藏
页码：251 / 256
页数：6
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