Neuro-Fuzzy based on support vector machine friction compensator in servo hydraulic system

This paper proposes the compensated Neuro-Fuzzy Control (NFC) incorporated with Support Vector Machine (SVM) learning algorithm for improving the dynamic response of a servo control of hydraulic system. The high steady state error and overshoot problems can occur when the servo system encounters a friction nonlinearity characteristic. This compensator neuro-fuzzy based on support vector machine combined with fuzzy controller will be implemented to enhance the position response. Experiments were carried out and the experimental results illustrated that the above pre-compensated intelligent framework can improve the position response.