Servohydraulic cylinder position control using a neuro-fuzzy controller

Abstract A neuro-fuzzy controller to control the position of a servohydraulic cylinder is designed. Bell-shaped membership functions and a look-up table are used to construct the network structure, and then one can train the leaming data by the back-propagation method. The designed neuro-fuzzy controller is implemented in a microcomputer to control a servohydraulic cylinder.