Research on Wind Resistance of Quad-Rotor UAV with Varied Mass Load
Quadcopter drones have been increasingly applied in agricultural plant protection.In response to the problem of reduced pesticide levels and external wind disturbances affecting the flight performance of the system,a control scheme combining integral backstepping control method and cascade RBF neural network PID control has been designed.The horizontal position and height were controlled by integral back stepping control method in the outer loop;In the inner loop of the control method,the cascade RBF neural network PID control which relies on the self-learning of neural network to realize the dynamic tuning of PID parameters was adopted to control the attitude angle.The simulation results show that compared with the conventional PID control,the control method of this paper has smaller fluctuation range with external interference,and the error are smaller,which proves that it has stronger ability in interference suppression.
Quad-rotor UAVVariable mass loadIntegralbackstepping controlNeural network control
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