Hybrid of fuzzy and PID in kinematics control of a pneumatic system

In a pneumatic system, normally, the piston caps stop at only 2 terminal endpoints. In order to extend the capabilities of the system, this research is conducted to develop a kinematics control based pneumatic system Both position and velocity of the pneumatic piston are controlled in such the way that the controlled piston is able to move with the specified velocity to the target position. Hybrid of fuzzy and PID control algorithm is proposed in this paper as the solution for pneumatic systems. The control algorithm is separated into two parts: a fuzzy controller and a PID controller. The fuzzy controller is used to control the piston when the piston locates far away from the target position. The PID controller is applied when the piston is near the desired positon. In order to test the performance of the system, settling time and steady-state error of five control algorithms are studied: proportional controller, PI controller, PD controller, PID controller, and hybrid fuzzy and PID controller. The results from the experiments show that the proposed hybrid fuzzy and PID controller gives the most satisfied settling tone and steady-state error