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Genetic algorithm optimization of I/O scales for FLIC in servomotor control

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 contr...

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Main Authors: Wahyunggoro , O., Saad ., Nordin
Format: Conference or Workshop Item
Published: 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/313/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-70449120934&partnerID=40&md5=8cbe9390185d05754c336d3bb93b346e
http://eprints.utp.edu.my/313/
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spelling my.utp.eprints.3132017-01-19T08:25:59Z Genetic algorithm optimization of I/O scales for FLIC in servomotor control Wahyunggoro , O. Saad ., Nordin TK Electrical engineering. Electronics Nuclear engineering 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 I Controller (FLIC) in which the I/O scale factors of Fuzzy Logic Controller (FLC) and integrator constant are optimized using Genetic Algorithm (GA). The singleton fuzzification is used as a fuzzifier: seven membership functions 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. Two control modes are applied in cascade to the plant: speed control in the position control loop. Simulation results show that FLIC with GA-optimized is the best performance compared to FLIC without GA and conventionalFLC for the speed and position control of DC servomotor. © 2009 IEEE. 2009 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/313/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-70449120934&partnerID=40&md5=8cbe9390185d05754c336d3bb93b346e Wahyunggoro , O. and Saad ., Nordin (2009) Genetic algorithm optimization of I/O scales for FLIC in servomotor control. In: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009, 25 July 2009 through 26 July 2009, Kuala Lumpur. http://eprints.utp.edu.my/313/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Wahyunggoro , O.
Saad ., Nordin
Genetic algorithm optimization of I/O scales for FLIC in servomotor control
description 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 I Controller (FLIC) in which the I/O scale factors of Fuzzy Logic Controller (FLC) and integrator constant are optimized using Genetic Algorithm (GA). The singleton fuzzification is used as a fuzzifier: seven membership functions 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. Two control modes are applied in cascade to the plant: speed control in the position control loop. Simulation results show that FLIC with GA-optimized is the best performance compared to FLIC without GA and conventionalFLC for the speed and position control of DC servomotor. © 2009 IEEE.
format Conference or Workshop Item
author Wahyunggoro , O.
Saad ., Nordin
author_facet Wahyunggoro , O.
Saad ., Nordin
author_sort Wahyunggoro , O.
title Genetic algorithm optimization of I/O scales for FLIC in servomotor control
title_short Genetic algorithm optimization of I/O scales for FLIC in servomotor control
title_full Genetic algorithm optimization of I/O scales for FLIC in servomotor control
title_fullStr Genetic algorithm optimization of I/O scales for FLIC in servomotor control
title_full_unstemmed Genetic algorithm optimization of I/O scales for FLIC in servomotor control
title_sort genetic algorithm optimization of i/o scales for flic in servomotor control
publishDate 2009
url http://eprints.utp.edu.my/313/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-70449120934&partnerID=40&md5=8cbe9390185d05754c336d3bb93b346e
http://eprints.utp.edu.my/313/
_version_ 1738655052384436224
score 13.211869

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