Minimum-Time Open-Loop and Closed-Loop Optimal Guidance with GA-PSO and Neural Fuzzy for Samarai MAV Flight

In this research, time-optimal open-loop and closed-loop guidance laws for MAVs, such as Samarai, were investigated. Openloop ,optimal solutions were achieved with a new technique based on using mathematical methods, such as calculus of variation and the GA-PSO optimization algorithm. This novel method could overcome difficulties of the usual optimal control methods. The TS approach developed closed-loop guidance that dealt with the novel neural-fuzzy training algorithm based on open-loop optimal trajectories to achieve closed-loop guidance. By feed forwarding the optimal control as a nominal optimum trajectory plus deviation, closed-loop optimal control can be generated. On the other hand, (TS) fuzzy logic needs storing nominal optimal trajectories to train the system

مقالات
حجم فایل3255 کیلوبایت
زبان مقالهENGLISH
سال انتشار2015
محل انتشارIEEE A&E SYSTEMS MAGAZINE
مشخصات کلی
تعداد صفحات11
تعداد صفحات محصول1-20

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Minimum-Time Open-Loop and Closed-Loop Optimal Guidance with GA-PSO and Neural Fuzzy for Samarai MAV Flight

  • تولید کننده: Iman Shafieenejad
  • شناسنامه: AS4-1026-paper
  • موجودی: در انبار
  • تاریخ چاپ: 2016-10-25
  • نویسنده: Iman Shafieenejad, Amir Ali Nikkhah
  • ژورنال: IEEE A&E SYSTEMS MAGAZINE
  • رایگان

برچسب ها: Samarai, Openloop, Neural Fuzzy, GA-PSO optimization algorithm