UAV Heading Control in Windy and Turbulent Conditions Using Reinforcement Learning
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 1
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.
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