نوع مقاله : علمی-پژوهشی

نویسندگان

1 دانشجوی دکتری، پژوهشگاه هوافضا، وزارت علوم، تحقیقات و فناوری، تهران، ایران

2 استادیار، پژوهشکده سیستم‌های هوایی پژوهشگاه هوافضا، وزارت علوم، تحقیقات و فناوری، تهران، ایران

چکیده

در این مقاله بازده و قابلیت اطمینان مبدل الکترونیک قدرت AC/DC دو طبقه با بکارگیری الگوریتم ژنتیک چند هدفه (NSGA- II)، به منظور کمینه‌سازی تابع هدف انجام می‌شود. متغیر­های تابع هدف، بازدهی و قابلیت اطمینان می­باشند. برای ارزیابی قابلیت اطمینان از مدل مارکوف استفاده می‌شود و در آن خطاهای اتصال کوتاه و مدار باز برای المان‌های مدار درنظرگرفته می­شود. همچنین نرخ خرابی المان‌های مدار به کمک معادلات موجود در استاندارد نظامی (MIL- HDBK- 217)، محاسبه می‌گردد. برای بهینه‌سازی ابتدا متغیرهای ورودی الگوریتم ژنتیک شامل مقدار اندوکتانس‌ها و خازن‌ها، فرکانس سوئیچینگ هر طبقه، نسبت تبدیل ترانسفورماتور و ولتاژ لینک DC به عنوان ورودی تابع هدف تعیین می­شوند تا به کمک آنالیز حساسیت پارامترهایی که تغییراتشان روی تابع هدف تاثیر عمده ندارد، حذف شوند. سپس پارامترهای الگوریتم NSGA- II شامل تعداد تکرار، جمعیت و احتمال تقاطع و جهش برای محاسبه دقیق متغیرهای مدار، تعیین شده و ارزیابی قابلیت اطمینان در قالب میانگین زمان تا خرابی (MTTF) با در نظر گرفتن پارامتر بازدهی صورت می‌پذیرد. نتایج بیانگر افزایش قابلیت اطمینان با حفظ بازدهی بالا برای مبدل است.

کلیدواژه‌ها

موضوعات

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