Parameter Estimation of Induction Motor Using Shuffled Frog Leaping and Imperialistic Competitive Algorithms
Publish place: 26th International Power System Conference
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
PSC26_018
تاریخ نمایه سازی: 27 اسفند 1390
Abstract:
This paper presents two methods based on Shuffled Frog Leaping Algorithm (SFLA) and Imperialistic Competitive Algorithm (ICA) for determining the values of the steady-state equivalent circuit parameters of an induction motor. The parameter estimation procedure is based on minimizing the error between some manufacturer’s data and corresponding data calculated from proposed methods by determining proper objective functions. Proposed methods are applied to two different models of two distinct induction motors and the results are presented. Little errors between the manufacturer’s data and the corresponding calculated data, and also small values reached for the objective functions confirms the exactness of the estimation processes.
Keywords:
Induction motor parameter estimation , Shuffled Frog Leaping AlgorithmImperialist Competitive Algorithm
Authors
Mansour Ojaghi
Department of Electrical Engineering, University of Zanjan
Mehdi Mardani
Department of Electrical Engineering, University of Zanjan