Parameter Estimation of Induction Motor Using Shuffled Frog Leaping and Imperialistic Competitive Algorithms

سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,653

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شناسه ملی سند علمی:

PSC26_018

تاریخ نمایه سازی: 27 اسفند 1390

چکیده مقاله:

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.

کلیدواژه ها:

Induction motor parameter estimation ، Shuffled Frog Leaping AlgorithmImperialist Competitive Algorithm

نویسندگان

Mansour Ojaghi

Department of Electrical Engineering, University of Zanjan

Mehdi Mardani

Department of Electrical Engineering, University of Zanjan