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

In a pneumatic system normally, the piston can stop at only 2 terminal endpoint. 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 a able to move with the specified velocity to the target position. Hybrid of fuzzy and PID control algorithm is proposed in this paper as die solution for pneumatic system. The control algorithm is separated into two parts, fuzzy controller and PM controller. Fuzzy controller is used to control the piston when the piston locates far away from the target position. PID controller is applied when the piston is near the desired position. In order to test performance of the system, settling time and steady-state error of five control algorithms, proportional controller, proportional-plus-integral controller, proportional-plus-derivative controller, proportional-plus-integral-plus-derivative controller, and hybrid of fuzzy and PID controller, are investigated. The results from the experiments show that the proposed hybrid of fuzzy and PID controller gives the most satisfied settling time and stead-state error.