AN APPLICATION OF NEURO - FUZZY ADAPTIVE PID CONTROLLER A DIRECT DIVE VOLUME CONTROL HYDRAULIC PRESS

Abstract

A new kind of volume control servo hydraulic press is presented in this paper. Electro-hydraulic actuators (EHAs) is a very nonlinear system and have a wide range of applications where force or position control with high accuracy is exceedingly necessary. Among them, hydraulic press machines applied EHAs are more and more used in the heavy industry. This paper presents a Neuron Fuzzy Adaptive PID controller for the development of high Position control precision in the hydraulic press machines. The mathematic model is constructed at first based on the physical laws. Then, the main control unit employs the Neuron Fuzzy Adaptive PID structure of which membership function (MF) optimization is considered as a system identification problem. A smart selection procedure (SSP) is implemented to pick out only fuzzy input and output MFs activated at each running step, to minimize the control error and change in error. Step response and position tracking are implemented on this system. Simulation results demonstrate that the Neuron Fuzzy Adaptive PID controller has effectively improved the performance as compared with the conventional PID controller.