Abstract
UAV does not need to be operated by a pilot. It mainly uses radio communication to receive flight instruction information from the ground station to complete various flight tasks. But the design of the UAV needs to keep the flight position and state stable according to the dynamics and control theory. This paper takes the quadrotor UAV as an example, introduces a variety of UAV control technologies, and then uses reinforcement learning and Newton-Euler method to establish a dynamic model according to its flight principle, and designs a position and attitude controller based on sliding mode control theory, the robust response value of the controller is tested to prove the strong anti-interference performance of the sliding mode controller.
Published Version
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