Using Emperor and Particle Swarm Optimization Algorithm to Optimize Induction Motor Control System
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2012, Vol 3, Issue 7
Abstract
In this paper, the simulation and optimization of induction motor through its controlling and modeling by convert d-q with Simulink of Matlab Software has been developed. By utilization 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 and Particle Swarm Optimization (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 experimental results 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.
Authors and Affiliations
Abdolreza Esmaeli| Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute,aesmaeli@aeoi.org.ir
Keywords
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