Multi-Objective Modeling of Double Cage Induction Motors Parameters Estimation

Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ICELE02_310

تاریخ نمایه سازی: 7 اسفند 1396

Abstract:

In this paper, for estimate the motor parameters more efficiently, several objectives are employed. several aspects of motor design are treated as objective functions. So, minimizing all the defined objectives simultaneously, results a considerable enhancement in motor design. In this regards, estimated parameters can be kept very closely to the standard manufacturer data. To optimize all the objective functions, simultaneously to the best possible condition NSGA II (Non-dominated Sorting Genetic Algorithm II) is used. One of the most important advantages of the proposed multi-objective procedure is that, it obtains several non-dominated solutions (pareto optima’s) allowing the system operator (decision maker) to exercise his personal preference in selecting each of those solutions based on the operating conditions of the system. The practicality of the proposed method is acknowledged for two different motor ranges (5Hp and 40Hp motors). The provided solutions and given performance curves validates the accuracy of the obtained results.

Keywords:

Double cage induction motor , parameter estimation , Multi-objective algorithm

Authors

Mohammad Javad Amroony Boushehry

Electrical Engineering Department of Azarbaijan Shahid Madani University, Tabriz, Iran

Rahim Shamsi Varzeghan

Electrical Engineering Department of Azarbaijan Shahid Madani University, Tabriz, Iran

Mohammad Reza Jannati Oskuee

Electrical Engineering Department of Azarbaijan Shahid Madani University, Tabriz, Iran

Vahid Behjat

Electrical Engineering Department of Azarbaijan Shahid Madani University, Tabriz, Iran