Analysis And Verification Of Steering System Control Method Based On Parameter Identification

As the direction control mechanism of aircraft,submarine,automobile and other motion systems,the electric steering gear system directly affects the dynamic and static characteristics of the controlled object.Its control performance directly affects the dynamic and static characteristics of the controlled object.However,the control performance of the electric servo system is affected by uncertain factors such as friction,clearance,and component aging.In order to solve the problem of parameter uncertainty in the controller design based on the servo system mathematical model to improve the control accuracy and speed of the aircraft control system,this paper studies the control method of the servo system on the basis of the system identification theory.The thesis firstly analyzes and studies the domestic and international development status of the system identification and the servo system control method.By analyzing the working principle of the mechanical structure transmission of the electric servo,a mathematical model of the servo is established for the design of the servo system controller;Then,for the problem that the mathematical model parameters are difficult to determine when the controller of the controlled object is designed in servo control,the classic method of parameter identification is studied,and the intelligent optimization identification algorithm is designed to optimize the parameters;Finally,a finite-time servo system controller(Finite Time Servo Control,FTSC)based on the servo system model for system parameter identification is designed.Through the joint simulation experiment constructed by ADAMS and Simulink,the FTSC is compared with the existing control strategy.At the same time,on the one hand,in order to verify the actual effectiveness of the identification algorithm and control strategy,it is necessary to build a servo automation test equipment to provide reliable data guarantee for the servo control system.Therefore,a servo measurement and control system based on virtual instruments is designed to provide hardware support for the system identification and control algorithm research.According to the advantages and disadvantages of different development environments,LabWindows / CVI and Visual C ++ were designed for the development of the host computer of the virtual instrument measurement and control equipment.The software development respectively applied the multithread mechanism,asynchronous timer mechanism,dynamic and static link library technology,serial communication technology,database and other technologies,the precise response of the servo control commands and the accurate collection of feedback information are realized.On the other hand,the parameter identification experiment of the electric servo system is carried out by using the collected data and the improved identification algorithm.The finite time controller proposed in this paper is designed by the identified parameter model of the electric servo system,and it is verified by comparison with the existing control algorithm.