Universiti Teknologi Malaysia Institutional Repository

Application of self-tuning fuzzy PID controller on industrial hydraulic acuator using system identification approach

Yousefi, Rozbeh (2010) Application of self-tuning fuzzy PID controller on industrial hydraulic acuator using system identification approach. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.

Full text not available from this repository.

Official URL: http://libraryopac.utm.my/client/en_AU/main/search...

Abstract

In this project, Self Tuning Fuzzy (STF) PID controller is developed to improve the performance of the electro-hydraulic actuator. The controller is designed based on the mathematical model of the system which is estimated by using System Identification technique. The model is performed in linear discrete model to obtain a discrete transfer function for the system. Estimation of parameters model are done by using System Identification Toolbox in Matlab. Data for model estimation is taken from an experimental works. Fuzzy logic is used to tune each parameter of PID controller. Through simulation in Matlab by selecting appropriate fuzzy rules, STF are designed to tune the parameters Kp, Ki and Kd of the PID controller. It is observed that the performance based on time response of the hydraulic system has improved significantly compare to conventional PID controller.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - Mekatronik dan Kawalan Automatik)) - Universiti Teknologi Malaysia, 2010; Supervisor : Assoc. Prof. Dr. Mohd Fua'ad Rahmat
Subjects:Unspecified
Divisions:Electrical Engineering
ID Code:26413
Deposited By: Kamariah Mohamed Jong
Deposited On:16 Jul 2012 12:26
Last Modified:24 Aug 2017 08:19

Repository Staff Only: item control page