Intelligent Learning Control of Electrohydraulic Proportional Variable Displacement Pump Based on Fuzzy Neural Network

This paper presents an intelligent learning control method based on fuzzy neural network and its application. An intelligent learning controller was designed based on the combination of PID controller, fuzzy neural network controller, learning mechanism and intelligent regulator. The main feature of the designed controller is that the intelligent regulator adjusts the PID-coefficients and learning factor, according to expert knowledge and learning mechanism. The designed controller was applied to the electrohydraulic proportional variable displacement pump with delay, nonlinear and time-variable characteristics. The experiments proved that the controller has the properties of quick response, strong robustness and high tracking accuracy, compared with conventional PID controller. This control method improved the dynamic response and steady state control accuracy of the electrohydraulic proportional variable displacement pump. This provides the beneficial reference for improving the control performance of such system.