(Tuning Weight Matrix of LQR with GA-PSO Optimization Algorithm for Micro Aerial Vehicle (Samara Mono-copter

In this paper, new micro unmanned aerial system is an emerging class of vehicles uniquely suited to performing covert missions. A linear model for the dynamics of a robotic samara (winged seed) in hovering flight is investigated. An efficient strategy based on LQR controller and GA-PSO optimization is proposed to design the altitude hold mode autopilot. A novel cost function that comprises undershoot, overshoot, rise time, settling time, steady state error and stability are considered to estimate LQR gains optimality. Simulation results show that the proposed strategy performances are desirable in terms of the time response and error
 

مقالات
حجم فایل473 کیلوبایت
زبان مقالهENGLISH
سال انتشار2014
محل انتشارThe 13th Iranian Aerospace Society Conference Faculty of New Sciences & Technologies, University of Tehran
مشخصات کلی
تعداد صفحات5
تعداد صفحات محصول1-20

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(Tuning Weight Matrix of LQR with GA-PSO Optimization Algorithm for Micro Aerial Vehicle (Samara Mono-copter

  • تولید کننده: M. Tafreshi
  • شناسنامه: AS4-1025-paper
  • موجودی: در انبار
  • تاریخ چاپ: 2016-10-24
  • نویسنده: M. Tafreshi, A. A. Nikkhah and I. Shafieenejad
  • ژورنال: The 13th Iranian Aerospace Society Conference Faculty of New Sciences & Technologies, University of Tehran
  • رایگان

برچسب ها: Samara, MAV, Tuning, Controller, LQR, Optimization Algorithm