UAV Heading Control in Windy and Turbulent Conditions Using Reinforcement Learning

Abstract

Due to the high non-linearity and coupling of a system model in an Unmanned Aerial Vehicle, UAV, the control of the heading has been a challenging task especially under windy and turbulent conditions. In this paper an online adaptive method using reinforcement learning is proposed to counter the effects of wind disturbances. The heading controller is designed in Matlab/Simulink for controlling a UAV in an X-Plane test platform. Through the X-Plane test platform, the performance of the designed controller is shown using real time simulations under different cross wind conditions. The performance of the proposed method is compared to that of a well tuned PID controller. The results show that the proposed method performs better in tracking a given heading angle under windy conditions.

Authors and Affiliations

Kimathi S, Kang’ethe S. , Kihato P.

Keywords

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  • EP ID EP388663
  • DOI 10.9790/1676-1301032329.
  • Views 113
  • Downloads 0

How To Cite

Kimathi S, Kang’ethe S. , Kihato P. (2018). UAV Heading Control in Windy and Turbulent Conditions Using Reinforcement Learning. IOSR Journals (IOSR Journal of Electrical and Electronics Engineering), 13(1), 23-29. https://europub.co.uk/articles/-A-388663