Study On Multi-Objective Coordinated Control Of Electro Hydraulic Servo System

The electro-hydraulic servo system of the practical application of the process to increase the load capacity and load to improve positioning accuracy,improve the stability of the system and multi task operation requirements,we need on the electrohydraulic servo system of multiple control objectives of cooperative control,control algorithm and the development of more intelligent and adaptable to improve the control effect the entire process control,in order to solve complex problems in application.The electro-hydraulic servo system is taken as the research object.According to the principle of electro-hydraulic servo system and the parameters of semi physical simulation experiment platform,the corresponding position and force control theory model is established.At the same time,the experimental platform is used to obtain the position and force response curves of the experimental platform,and the simulation results are compared with the experimental results obtained by the semi physical simulation.Aiming at the position / speed coordinated control problem of electro-hydraulic servo system,based on position control,the speed feedforward compensation is used to realize the cooperative control of position and speed.In this paper,the traditional PID control algorithm is used to ensure the real-time response accuracy and positioning accuracy;the speed control part uses the adaptive fuzzy neural network control algorithm to eliminate the vibration and impact of the speed signal caused by the position signal change and the nonlinear factors of the system itself.Finally,through the Matlab software simulation observe the position / speed collaborative control system and controller overall control effect.Aiming at the force / position coordinated control problem of electro-hydraulic servo system,based on position control,the force outer loop control is used as feedforward compensation to realize the cooperative control of force and position.Similarly,the position control part uses the traditional PID control algorithm to ensure the real-time response accuracy and positioning accuracy;the adaptive fuzzy neural network control algorithm is used to reduce the vibration and impact caused by system instability and nonlinear factors in the process of force control.In order to make sure that the force control accuracy,improve the stability of the system.Finally,the whole control effect of force / position collaborative control system is observed by Matlab software simulation.Finally,the experiment is carried out to verify the design of position / velocity coordinated control and force / position Co control.The control effect of response curves of experimental comparison of different control parameters and control effect of multiple targets validate the design of cooperative control system,PID controller and adaptive fuzzy neural network controller for multi object,further in-depth study of complicated electrohydraulic servo systems are the foundation of cooperative control,but also for the control in complex conditions the study of other complex systems to provide some useful reference and reference.