شناسایی پارامترهای تابع انتقال موتور DC بدون جاروبک با استفاده از الگوریتم ازدحام گروه ذرات
محورهای موضوعی : مهندسی برق و کامپیوتر
احمد شیرزادی
1
(دانشگاه صنعتی مالک اشتر)
آرش دهستانی کلاگر
2
(دانشگاه صنعتی مالک اشتر)
محمدرضا علیزاده پهلوانی
3
(دانشگاه صنعتی مالک اشتر)
کلید واژه: الگوریتم بهینهسازی ازدحام گروه ذرات, موتور DC بدون جاروبک, تابع انتقال, تخمین پارامتر,
چکیده مقاله :
تا کنون مطالعات جامع و گستردهای بر روی موتور DC بدون جاروبک (BLDC) صورت گرفته که بخشی از این مطالعات، ناظر بر تخمین پارامترهای تابع انتقال این موتور میباشد. تخمین پارامترهای تابع انتقال موتور BLDC امری ضروری جهت بررسی عملکرد موتور و پیشبینی رفتار آن است؛ بنابراین به یک روش تخمین پارامتر کارآمد، دقیق و قابل اعتماد احساس نیاز می‌شود. در این مقاله با استفاده از الگوریتم ازدحام گروه ذرات (PSO)، مسئله تخمین پارامترهای تابع انتقال مجموعه موتور BLDC و اینورتر مربوط به این موتور، حل شده است. نتایج حاصل از به‌کارگیری این الگوریتم با نتایج سایر الگوریتم‌های بهینهسازی فراابتکاری مقایسه شده و بررسی این نتایج نشان داده که الگوریتم PSO برای حل مسئله تخمین پارامتر تابع انتقال، یک روش کارآمد، دقیق و قابل اعتماد است.
So far, comprehensive and extensive studies have been conducted on the brushless DC motor (BLDC), and a part of these studies focuses on the estimation of the parameters of the transfer function of this motor. Estimation of BLDC motor transfer function parameters is essential to study motor performance and predict its behavior. Therefore, an efficient, accurate and reliable parameter estimation method is needed. In this article, the problem of estimating the parameters of the transfer function of the inverter-fed BLDC motor set has been solved using particle swarm algorithms (PSO). The results of using this algorithm have been compared with the results of other optimization algorithms. The comparison of these results has shown that the PSO algorithm is an efficient, accurate and reliable method for solving the transfer function parameter estimation problem.
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