Intelligent Self-Adaptive Control Method Based on RBFNN and its Application in Hydraulic Control

Abstract

We proposed an intelligent self-adaptive control method based on RBFNN in this paper, dynamic identification model of nonlinear control system is built based on radial basis neural network, mixed intelligent method of dynamic self-adaptive internal model control is developed by adjusting online for nonlinear control system. We applied the intelligent self-adaptive control method to nonlinear hydraulic control, simulation shows the dynamic characteristic is greatly improved by the intelligent control strategy for nonlinear control system, good tracking and control effect is reached in condition of high frequency response, and the intelligent control method has higher precision, smaller overshoot and stronger robustness compared with common PID control, BPNN control and fuzzy control. It provides a new control method for nonlinear control system.