Research On Control Method Of Electric Actuator Loading System

The electric steering gear loading system is an important simulation equipment for researchers to test the performance of the aircraft in the laboratory environment on the ground.It is mainly used to simulate the aerodynamic hinge moment of the aircraft steering gear from the air.Because simulation is in the ground laboratory environment,the loading side and the steering gear side of the system are coupled,the active motion of the steering gear produces redundant torque,which greatly affects the accuracy of the torque servo system.Therefore,it is of great practical significance to study the load system of electric steering gear.In this paper,the research of the high-speed vehicle steering gear load simulation technology is taken as the background.Firstly,the feasibility of the method is verified by simulation experiments.The specific research contents are as followsThe research background and development course of the electric steering gear loading system are introduced.The research on the control method of the electric steering gear loading system is analyzed.The development of neural network is introduced,and the research status and advantages in the field of control are introduced.According to the physical model of the main components of the electric steering gear loading system,the transfer function models of the loading moment loading side and the steering gear side of the electric steering gear are established respectively.On this basis,the transfer function model of redundant moment is established from the perspective of mechanism analysis.The paper proposes that the PID controller is adjusted by neural network.The traditional PID control method can not meet the higher dynamic requirements and frequency band requirements of the loading system.The algorithm principle of BP neural network and RBF neural network are introduced respectively.The parameters of PID controller are adjusted by BP neural network and RBF neural network.The control performance of traditional PID controller and neural network PID controller is compared and analyzed.The disturbance observer based on neural network is designed to suppress the disturbance caused by the steering gear movement.the disturbance observer is improved by neural network,and the reliability of neural network inverse modeling is verified by simulation.According to the controller design,the whole load system of electric steering gear is simulated and tested,and the good effect of the control method to the torque tracking and redundant torque suppression of the system is illustrated.