مدل بهینه شده‏ی فرکانس بالای موتور القایی با استفاده از الگوریتم ژنتیک

نویسندگان

1 صنعتی نوشیروانی بابل

2 تهران

چکیده

در این مقاله، مدل فرکانس بالای موتور القایی ارائه شده است. مقادیر پارامترهای این مدل فشرده با استفاده از الگوریتم ژنتیک تعیین و بهینه شده است. مدل و روش جدیدی برای تعیین پارامترهای معرفی شده است. در ابتدا محدوده‏ی تغییرات پارامترها بدست آمده و سپس با استفاده از الگوریتم ژنتیک مقدار دقیق و بهینه‏ی هر یک از پارامترها بدست آمده است. مدل ارائه شده در باند فرکانسی 100 Hz تا 30 MHz هم در مد مشترک و هم در مد دیفرانسیل از دقت بالایی برخوردار می‏باشد. مدل بدست آمده و بهینه شده با استفاده از الگوریتم ژنتیک، هم در دامنه و هم در فاز با نتایج حاصل از داده‏های آزمایشگاهی تطابق بالایی دارد. کمینه کردن مقدار مربع خطا، به عنوان تابع هدف الگوریتم ژنتیک استفاده شده است. مدل ارائه شده جهت پیش بینی تداخل الکترمغناطیسی و اضافه ولتاژ ترمینال موتور و جریان مد مشترک در موتور القایی تغذیه شده با کابل مناسب است.

کلیدواژه‌ها


عنوان مقاله [English]

Optimized High Frequency Lumped Parameters Model of Induction Motor Using Genetic Algorithm (GA)

نویسندگان [English]

  • mehdi mohammadi rostam 1
  • Majid Shahabi 1
  • Amir Abbas Shayegani-Akmal 2
1 Babol Noshirvani University of Technology
2 Tehran
چکیده [English]

In this paper an optimized high frequency lumped model of Induction motor is presented. Model parameters are identified and optimized using Genetic Algorithm (GA). A novel model and approach in an improved high frequency based on GA for parameter identification are used. At first parameters are limited and then fitted using GA for best fitting. The proposed model considered accurate simulation of both differential and common mode behavior in the EMI-frequency range from 100 Hz to 30MHz. model parameters which extracted from GA, is compared with experimental data in both magnitude and phase at the same time and results shown a good accordance between the experimental results and simulation results of the proposed model. A least mean square (LMS) method was used with a GA optimization method to solve the identification problem. The proposed model is suitable to obtain the simulation models for prediction of high frequency conducted Electromagnetic Interference (EMI), over voltage on terminated motor, and common mode current in cable fed induction motor.

کلیدواژه‌ها [English]

  • : Electromagnetic Interference (EMI)
  • genetic algorithm (GA)
  • induction motor
  • lumped parameter
  • Modeling

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