标题:Performance Comparison of Variants of Ant Colony Optimization Technique for Online Tuning of a Pi Controller for a Three Phase Induction Motor Drive
期刊名称:International Journal of Computer Science and Information Technologies
电子版ISSN:0975-9646
出版年度:2014
卷号:5
期号:4
页码:5814-5820
出版社:TechScience Publications
摘要:This paper address the design and tuning schemes for a feedback controller of an induction motor drive by employing three different algorithms inspired by the behavior of the ants. A mechanical equivalent model of the drive is considered along with the parameter variations which are prominent in the system. A line of comparison is drawn between the three different algorithms discussed in the paper and the simulation results prove the superiority of the Fuzzy- Ant Colony Optimization (Fuzzy-ACO) results to the other results already reported in literature. Thus the dynamic response of the drive can be improved by tuning the controller for its optimal values by using the Fuzzy-ACO approach.
关键词:ACO; Fuzzy System; PI Controller; Controller;Tuning.