Multi Objective Swarm Optimization Design Fuzzy Controller to Adjust Speed of AC Motor Drive
In this paper a Multi-Objective Particle Swarm Optimization (MOPSO) is utilized to design sets of linguistic Fuzzy Logic Controller (FLC) type Mamdani to govern the speed of Induction Motor (IM).The first objective function is the error between the actual speed and desired speed, and the second function is the energy dissipated during (10 Sec).PSO are implemented in M file/MATLAB, but when the algorithm reaches the step of assessing the fitness functions, this program linked with SIMULINK-MATLAB to evaluate these values.This simulation includes the complete mathematical model of IM and the inverter.The simulation results show the proposed controller offers an optimized speed behavior as possible with a low-slung of energy along the points of Pareto front.
Multiobjective Particle Swarm Optimization MOPSO Fuzzy Logic Control FLC Induction Motor IM
Nasseer K.Bachache Jinyu Wen
College of Electrical and Electronic Engineering,Huazhong University of Science and Technology (HUST), Wuhan 430074, China
国际会议
4th international Conference,ICSI2013(第4届群体智能国际会议)
哈尔滨
英文
522-529
2013-06-12（万方平台首次上网日期，不代表论文的发表时间）