Design of Control System for Power Supply Aerial Work Equipment Loading Device Based on Intelligent Algorithm

The purpose of this paper is to discuss and study the design of the control system of the power supply aerial work equipment loading device based on intelligent algorithm. The realization method of CAN bus control system of aerial work platform is designed by using ARM9 embedded controller. The structure of the whole system allows the control, monitoring and communication of power supply aerial work instruments. The corresponding controller is designed to make the manipulator track the expected trajectory effectively. The adaptive control strategy based on neural network is used to design the controller of the manipulator system. Neural network can fit the unknown model of the system well and adjust the output of the controller adaptively to achieve the ideal control effect. The research results show that the neural network is feasible for the vibration control of uncertain flexible manipulator with input dead zone, and a satisfactory control effect can be obtained.