Adaptive neuro-fuzzy friction compensator in servo hydraulic system

Because of the friction nonlinearity characteristic in hydraulic system, high steady state error and overshoot have occurred in the position response as a typical imperfect implementation of associated control dynamic. In this situation, there is a necessity to be able to effectively utilizing the intelligent controller framework. The primary purpose of this research is to develop a control algorithm based on two neuro-fuzzy for a hydraulic servo system. This precompensator neuro-fuzzy combined with fuzzy controller will be implemented to enhance the overall performance. Experiments were carried out and the experimental results illustrated that the above pre-compensated intelligent framework can improve the overall the performance.