Automatic Navigation and Control System of Agricultural Intelligent UAV Based on Sliding Mode Control
This paper proposes an automatic navigation control system for agricultural unmanned aerial vehicles(UAV)based on sliding mode control,targeting the dynamic and complex nature of agricultural environments.Firstly,a sliding mode controller for dynamic environments was designed to ensure the flight stability of the UAV in the face of external disturbances.Then,the introduction of reinforcement learning algorithms for online adjustment of control parameters improved the system's adaptability.Finally,a hardware in the loop simulation platform was built and flight tests were conducted in actual agricultural environments.The results demonstrate that the proposed control system effectively enhances the autonomous navigation performance of agricultural UAV,providing technical support for the development of smart agriculture.
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