eprintid: 526
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/05/26
datestamp: 2023-11-09 15:48:40
lastmod: 2023-11-09 15:48:40
status_changed: 2023-11-09 15:22:40
type: conference_item
metadata_visibility: show
creators_name: Wahyunggoro, O.
creators_name: Saad, N.
title: Genetic algorithm optimization of I/O scales and parameters for FLIC in servomotor control
ispublished: pub
keywords: Control modes; Controller performance; DC servomotor control; Defuzzifiers; Direct current; Feedback controller; Fuzzifications; Fuzzy; Fuzzy genetic algorithms; Fuzzy logic controllers; Genetic-algorithm optimizations; Input and outputs; Integral controllers; MATLAB /simulink; Modeling and simulation; Robot manipulator; Scale Factor; Servo motor control; Simulation result, Computer simulation; Fuzzy logic; Fuzzy systems; Genetic algorithms; Genetic engineering; Industrial electronics; Membership functions; Robot applications; Servomotors, Controllers
note: cited By 0; Conference of 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 ; Conference Date: 4 October 2009 Through 6 October 2009; Conference Code:79286
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. This paper discusses the modeling and simulation of DC servomotor control built using MATLAB/Simulink, and the analysis of controller performance, namely a Fuzzy Logic parallel Integral Controller (FLIC) in which the I/O scale factors, membership functions, and rules of Fuzzy Logic Controller (FLC) and integrator constant are optimized using Genetic Algorithm (GA) sequentially. The singleton fuzzification is used as a fuzzifier: seven membership functions initially for both input and output of fuzzy logic controller. The center average is used as a defuzzifier. The 32-bit-50-population is used in GA for I/O scales, and 21-bit-30-population is used in GA for membership functions. Two control modes are applied in cascaded to the plant: position control and speed control . Simulation results show that FLIC with GAoptimized is the best performance compared to FLIC, FLC, and FLC with GA. © 2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-76449083766&doi=10.1109%2fISIEA.2009.5356446&partnerID=40&md5=9c4bb131f53964b81d3ee249c89396cf
id_number: 10.1109/ISIEA.2009.5356446
full_text_status: none
publication: 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings
volume: 1
place_of_pub: Kuala Lumpur
pagerange: 271-276
refereed: TRUE
isbn: 9781424446827
citation:   Wahyunggoro, O. and Saad, N.  (2009) Genetic algorithm optimization of I/O scales and parameters for FLIC in servomotor control.  In: UNSPECIFIED.