Design And Control Of A Load Simulator And Experimental Platform For A Servo System

The gun-controlled follow-up system occupies an important position in modern artillery systems.In order to ensure the stability,response speed and dynamic and static accuracy of the gun control follow-up system,a bench test is needed to evaluate the performance of the follow-up system.In this paper,the model identification and control method of a gun control servo system load simulator is studied under the background of the development of a gun control servo system load simulator.In the process of torque loading,the servo load simulator will be affected by its own uncertainty factors,and it will also be affected by the interference torque caused by motor coupling.It is of great theoretical significance and engineering value to effectively improve the torque tracking accuracy of the servo load simulator loading system.The main work of this paper focuses on the following aspects:(1)The composition and working principle of the follow-up load simulator are analyzed.Then,the mathematical model of the load simulator system is established by combining the permanent magnet synchronous motor model.Finally,the influence of system uncertainty on the performance of the servo load simulator is analyzed.(2)The nonlinear model identification scheme of the follow-up load simulator system is studied.Two identification methods,RBF neural network and RBF neural network based on grey prediction model optimization,are proposed.Comparing the simulation results of the two models,the RBF neural network system model identification scheme based on gray prediction model optimization is selected.(3)The follow-up load simulator torque controller is designed.Based on the RBF neural network identification model optimized by grey prediction model,a fuzzy single neuron PID adaptive controller is adopted to control the follow-up load simulator system of this topic,which is compared with PID controller of single neuron optimization.The MATLAB and Simulink model are built and the simulation experiment is carried out.(4)The load simulator platform of the servo system is designed and processed to verify the experimental results.