Neuro-fuzzy precompensator in servo pneumatic system

Because of the dead-zone nonlinearity characteristic in pneumatic 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 precompensated neuro-fuzzy for a typical pneumatic 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 precompensated intelligent framework can improve the overall the performance.