Research On Electro-hydraulic Servo System Based On Single Neural Fuzzy Self-adaptive PID Control

Hydraulic drive technology has received more and more widely used in modem industrial areas with its high rigidity,high-speed response and high power quality characteristics.However,the traditional valve control system has some disadvantages,such as low efficiency,complex structure,serious fever etc,and it has been difficult to meet the needs of the times.In order to solve this problem,this paper proposed the direct drive pump control electro-hydraulic servo system.This system has characteristics of small volume,large output,high efficiency and environmental benefits.Nowadays,it has become the development direction of the electrohydraulic control system.Aiming at the problems of flow imbalance and low pressure chamber negative pressure in the asymmetric cylinder loop,this paper proposes a solution method and describes the composition and working principle of the direct drive pump control system,while building the experimental platform.The analysis of each module is made for this system with modular modeling method.Also,some nonlinear factors are simplified of the pump system.Using analytical method establish mathematical model about sub module and the direct drive pump control.By means of MATLAB/Simulink platform,the dynamic performance of the direct drive servo pump control system is analyzed in the paper.Based on the traditional PID controller,this paper focuses on the design of fuzzy adaptive PID controller and single neuron fuzzy self-adaptive PID controller.Also,with the help of MATLAB software,the simulation study on the direct drive pump control servo system dynamic performance with different control algorithm.The imulation results show that,compared with the traditional PID controller,the fuzzy adaptive PID controller and single neuron adaptive fuzzy PID controller have quick response speed,small steady-state error,high control precision and short adjusting time.Based on the test bench of the CQYZ-D electro-hydraulic servo control,and the software of WPLSoft and Labview,this paper finished the development of different control algorithms,data acquisition and serial communication program.Finally,the performance tests of direct drive pump control system of pressure and displacement are completed in different controller.The performance of position tracking experiments show that the response of neuron fuzzy self-adaptive PID controller is faster than the fuzzy adaptive PID controller and the steady error is relatively smaller.But the initial response curve of the neuron fuzzy self-adaptive PID controller is not smooth.The step response performance of pressure control is studied with several methods.The result shows that compared with PIDcontroller,fuzzy adaptive PID controller and single neuron fuzzy self-adaptive PID controller can remove chattering phenomenon in the early response,weaken the dead zone delay,improve system dynamic quality and the control precision.The experimental results are essentially in agreement with the simulation.Also,single neuron fuzzy adaptive PID controller has been improved obviously in response speed,but with larger steady-state error.The experiments between pressure control and position control show that the effects of the position control is better than pressure control by using of single neuron adaptive fuzzy PID controller.