Simulation and Research on Position Servo Control System of Opposite Vertex Hydraulic Cylinder based on Fuzzy Neural Network

Abstract

Taking the opposite vertex hydraulic cylinder system as the research subject, this paper presents a control method based on fuzzy neural network (FNN), which leads to the instability of loading force and the insensitivity of position response due to its vulnerability to external interference. In this paper, the mathematical model of electro-hydraulic servo hydraulic system is established firstly, and the hydraulic system model and control model are built successively by using the software tools of Matlab/simulink, amesim. The paper applies the fuzzy neural network control strategy to the electro hydraulic force position feedback servo control simulation. After the joint simulation, the results are compared with the common pid control results. The results show that the FNN strategy achieves the expected control effect, which can effectively reduce the overshoot of the system and accelerate the response of the system.