A Control Method of the Force Loading Electro-hydraulic Servo System Based on BRF

摘要

The paper proposed a control method based on the electro-hydraulic servo loading system used on the bearing test rig for aircraft engine. Aiming at the nonlinear problem of the system, a control method is designed based on RBF neural network. This method uses the BRF algorithm of neural network on the online adjustment and correction of the PID parameters. Through the simulation, we compare the control effect of classic PID and RBF tuning. Results show that the BRF algorithm has high robustness, adaptive. Its track performance and adaptive control capacity are superior to the classic PID control.