طراحی یک تقویتکننده عملیاتی دو طبقه با استفاده از شبکه عصبی مصنوعی

الموضوعات :

علیرضا پورخلیلی ¹ (دانشکده مهندسی برق- واحد نجف‌‌آباد، دانشگاه آزاد اسلامی، نجف‌‌آباد، ایران)
سید محمد علی زنجانی ² (مرکز تحقیقات ریزشبکه‌‌های هوشمند- واحد نجف‌‌آباد، دانشگاه آزاد اسلامی، نجف‌‌آباد، ایران)

تاريخ الإرسال : 02 الجمعة , ذو الحجة, 1443 تاريخ التأكيد : 06 الإثنين , ربيع الثاني, 1444 تاريخ الإصدار : 18 الخميس , صفر, 1446

الکلمات المفتاحية: شبکه‌ عصبی مصنوعی, مصالحه, خودکارسازی طراحی الکترونیکی, بهینهسازی طراحی آنالوگ, تقویت‌‌کننده عملیاتی, مدل‌‌کردن عملکرد,

ملخص المقالة :

طراحی مدارهای مجتمع آنالوگ با پیچیدگی بالا، نیازمند انتخاب مناسب پارامترهای مختلف طراحی مثل نسبت عرض به طول کانال، مقدار خازن جبران و خازن بار است، به‌‌نحوی که در اثر این تغییرات، پارامترهای مطلوب کاربران مانند بهره‌‌، پهنای باند، توان مصرفی و حاشیه فاز، بهبود یابد. با توجه به کارهای انجام شده در این زمینه، در این مقاله یک تقویت‌‌کننده عملیاتی دو طبقه با زوج ورودی پی موس (PMOS) و جبران‌‌ساز میلر، به‌‌کمک یک شبکه‌ عصبی مصنوعی طراحی شده است. داده‌‌های ورودی شبکه‌ عصبی، چهار پارامتر عملکرد مداری یعنی بهره فرکانس پایین، پهنای باند، توان مصرفی و حاشیه‌‌ فاز است و در خروجی، مقدار عرض و طول کانال ترانزیستورها، منبع جریان مرجع، خازن جبران و خازن بار حاصل می‌‌شود. در این طراحی، از روش نمونه برداری مبتنی‌بر شبیه‌‌سازی‌‌های موازی اچ-اسپایس برای گردآوری داده از فضای 15 بعدی طراحی استفاده شده است که منجر به سادگی و خودکارسازی فرایند تهیه مجموعه داده‌‌های آموزشی و کاهش زمان نمونه برداری شده است و سپس این داده‌‌ها برای آموزش مدل عصبی استفاده شده‌‌اند. در مرحله‌‌ بعد، از روش نمونه‌‌برداری بازه‌‌ای برای ایجاد طراحی‌‌های جدیدی از مدل عصبی آموزش‌‌دیده، بهره گرفته شده که باعث سهولت فرایند طراحی شده است و امکان انجام انواع مصالحه مورد نظر کاربر بین پارامترهای عملکرد مختلف تقویت‌‌کننده را فراهم کرده است. همچنین اگر ضریب شایستگی (FOM) از تقسیم حاصل‌‌ضرب پهنای باند واحد در خازن بار به توان مصرفی به دست آید، مقایسه طراحی‌‌های حاصل شده از روش ارائه شده در این مقاله، با برخی از روش‌‌های به کار رفته برای طراحی تقویت‌‌کننده‌‌ها‌‌ی عملیاتی با ساختار مشابه در مطالعات قبلی، نشان می‌‌دهد که این پارامتر، حداقل 154 درصد افزایش یافته است.

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