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سی و سومین کنفرانس بین المللی مهندسی برق
Fractional-Order Model Prediction Attitude Control For Unmanned Aerial Vehicles
نویسندگان :
Hossein Hassanzadeh Yaghini
1
1- Faculty of Electrical and Computer Engineering University of Tabriz, Tabriz, Iran
کلمات کلیدی :
model prediction control،unmanned aerial vehicles،fractional-order control،attitude control
چکیده :
This paper introduces a novel fractional-order model predictive controller (FOMPC) designed for the attitude control of unmanned aerial vehicles (UAVs) under control signal constraints. The controller uses a fractional-order cost function considering the dynamics of the UAV and control signal constraints. The simulation results show that the FOMPC’s performance surpasses that of conventional model predictive control (MPC) in controlling the UAV’s attitude, confirming the applicability and validity of the proposed approach.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
