eprintid: 328
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/03/28
datestamp: 2023-11-09 15:15:57
lastmod: 2023-11-09 15:15:57
status_changed: 2023-11-09 15:14:19
type: conference_item
metadata_visibility: show
creators_name: Wahyunggoro, O.
creators_name: Saad, N.
title: Evaluations of fuzzy-logic-based self tuning PI controller and fuzzy-scheduled PID controller for DC servomotor
ispublished: pub
keywords: Control theory; Electric control equipment; Feedback; Feedback control; Fuzzy control; Fuzzy logic; Information technology; Membership functions; Proportional control systems; Robot applications; Servomechanisms; Speed control; Speed regulators; Three term control systems; Time varying control systems; Tuning; Two term control systems, Applications.; Control modes; Controller performances; DC servomotor controls; DC servomotors; Defuzzifier; Direct currents; Feedback controllers; Fuzzification; Fuzzy logic controllers; Input and outputs; MATLAB/Simulink; Modeling and simulations; Pi controllers; PID controllers; Robot manipulators; Scaling factors; Self tuning; Settling times; Simulation results, Servomotors
note: cited By 7; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115
abstract: Direct Current (DC) servomotors are widely used in robot manipulator applications. Servomotors use feedback controller to control either the speed or the position or both, and the basic continuous feedback control is PID controller. This paper discusses the modeling and simulation of DC servomotor control built using MATLAB/Simulink, and the analysis of controller performance, namely a fuzzy-scheduled PID controller and a fuzzy-logic-based self tuning PI controller with a variation of scaling factor. The singleton fuzzification is used as a fuzzifier: three membership functions for both input and output of fuzzy logic controller. The center average is used as a defuzzifier. Two control modes are applied in sequential to the plant: speed control, and then position control. Simulation results show that fuzzylogic-based self tuning PI controller has better performance in terms of percent OS and settling time compared to fuzzy-scheduled PID controller for the speed control of DC servomotor. © 2008 IEEE.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349115310&doi=10.1109%2fITSIM.2008.4631909&partnerID=40&md5=dd769ced4fcfda5b21dd8293236524ef
id_number: 10.1109/ITSIM.2008.4631909
full_text_status: none
publication: Proceedings - International Symposium on Information Technology 2008, ITSim
volume: 3
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781424423286
citation:   Wahyunggoro, O. and Saad, N.  (2008) Evaluations of fuzzy-logic-based self tuning PI controller and fuzzy-scheduled PID controller for DC servomotor.  In: UNSPECIFIED.