فناوری در مهندسی هوافضا

فناوری در مهندسی هوافضا

طراحی جبران‌ساز فراز یک پهپاد و مقاوم‌سازی آن با الگوریتم بهینه‌ساز کلونی زنبور عسل

نوع مقاله : علمی پژوهشی

نویسندگان
1 دانشجوی دکتری، دانشکده فناوری‌های نوین و مهندسی هوافضا، دانشگاه شهید بهشتی، تهران، ایران
2 دانشیار، دانشکده فناوری‌های نوین و مهندسی هوافضا، دانشگاه شهید بهشتی، تهران، ایران
چکیده
از چالش‌های مهم طراحی خلبان خودکار در هواپیما، عدم قطعیت در پارامترها ‌می‌باشد. هواپیمای موردنظر از نوع هواپیمای بدون سرنشین با قابلیت انجام مأموریت چندگانه می‌باشد. در این مقاله پس از خطی‌سازی کانال فراز، تابع تبدیل برای نقاط مهم استخراج شده و سپس یک جبران‌ساز مقاوم کلاسیک و یک میراکننده سرعت زاویه‌ای طراحی می‌شود. باتوجه به بازه عدم قطعیت‌ها، با کمک الگوریتم بهینه‌سازی کلونی زنبور عسل، پارامترهای جبران‌ساز تنظیم گردیده‌اند. همچنین مقدار بهینه زاویه عقب‌گرد بال به‌صورت غیرمستقیم از مقدار بهینه مرکز فشار آیرودینامیکی به دست می‌آید. رویکرد بهینه‌سازی در این مقاله، مقاوم نمودن کانال فراز در مواجهه با عدم قطعیت‌ها است. نتایج نشان می‌دهد، با نوآوری صورت‌گرفته در طراحی جبران‌ساز به روش کلاسیک و ترکیب آن با شبیه‌سازی مونت‌کارلو و الگوریتم بهینه‌ساز، رفتار کانال فراز در زمان حضور عدم قطعیت‌ها بهبود قابل‌توجهی داشته است.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Designing Pitch Angle Compensator for an UAV and Making it Robust Using Bee Colony Optimization Algorithm

نویسندگان English

Mohammad Hosein Alizadeh 1
Alireza Toloei 2
1 Ph. D. Student, Faculty of New Technologies and Aerospace Engineering, Shahid Beheshti University, Tehran, Iran
2 Associate Professor, Faculty of New Technologies and Aerospace Engineering, Shahid Beheshti University, Tehran, Iran
چکیده English

Uncertainty in parameters is one of the important challenges of designing an autopilot for airplanes. The considered aircraft in this paper is an (a) UAV, capable of performing multiple missions. In this paper, after the linearization of the pitch channel, the transfer function for important points is extracted. After that, a robust classic compensator and an angular velocity damper are designed. According to the range of uncertainties, the compensator is adjusted by bee colony optimization algorithm. Also, the optimal value of the wing sweep back angle is obtained indirectly from the optimal value of the center of aerodynamic pressure. The optimization approach in this pepper is to make pitch channel robust to uncertainties. The results show that with the innovation in the design of the classic controller and its combination with Mont Carlo simulation and optimization algorithm, the behavior of the pitch channel in the presence of uncertainties has been improved.

کلیدواژه‌ها English

Autopilot
Pitch Compensator
Pitch Rate Damper
Uncertaintie
Article Bee Colony Optimization
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  • تاریخ دریافت 14 بهمن 1401
  • تاریخ بازنگری 26 فروردین 1402
  • تاریخ پذیرش 26 فروردین 1402
  • تاریخ اولین انتشار 26 فروردین 1402