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Fuzzy self-adaptive PID for pneumatic rod piston motion control

Mohd Iskandar Putra, Azahar and Addie, Irawan and Raja Mohd Taufika, Raja Ismail (2019) Fuzzy self-adaptive PID for pneumatic rod piston motion control. In: 10th IEEE Control & System Graduate Research Colloquium 2019 (ICSGRC 2019), 2-3 August 2019 , Shah Alam, Malaysia, Malaysia. pp. 82-87.. ISBN 978-1-7281-0755-4

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Abstract

This paper presents an integration control method for pneumatic piston rod position control using Fuzzy Self-Adaptive proportional, integral and derivative (FSAPID) controller. Motion control of the pneumatic piston rod is a complex task and highly nonlinear makes it difficult to handle the task involving precise positioning. Therefore, this research has designed FSAPID with the fuzzy logic system as a tuner to the PID controller to overcome the fast response and high oscillation by the pneumatic piston actuation. Set of fuzzy rules was designed as a decision maker for PID gains according to the input tracking errors of the rod piston position The FSAPID was verified through several simulations and compared with conventional PID control on the same double acting single piston pneumatic system plant. The results show FSAPID able to reduce the steady-state error as well as low vibration on a pneumatic stroke motion. Moreover, FSAPID performing low overshoot rate and fast settling time than the PID controller.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Pneumatic Actuation System; Fuzzy Logic; PID Control; Adaptive Control
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 04 Dec 2019 06:53
Last Modified: 04 Dec 2019 06:54
URI: http://umpir.ump.edu.my/id/eprint/26471
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