Research on Electro-Hydraulic Servo System Based on BP-RBF Neural Network

摘要

Aiming at the accuracy of the severe interference control system commonly used in marine electro-hydraulic servo system, a nonlinear model of the control system is established. In order to control the excess force, a composite PID controller with BP neuron algorithm is proposed. The integration and setting of parameters were carried out by neurons. The tracking ability of RBF neurons was used to construct a PID composite tracker, and simulation experiments were carried out to show that the relevant parameters were self-corrected. The controller has high control stability and fast speed. The other characteristics signifieantly suppress the excess force in the electro-hydraulic servo system, thus effectively optimizing the stability of the entire electro-hydraulic servo control system against external load force interference.