Genetic algorithm tuning based PID Controller for liquid-level tank system

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Main Authors: Mohammed Obaid, Ali, S. P., Koh, K. H, Chong, S.K., Tiong, Zeyad Assi, Obaid
Other Authors: engin_mohammed2020@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7398
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spelling my.unimap-73982016-06-12T14:27:38Z Genetic algorithm tuning based PID Controller for liquid-level tank system Mohammed Obaid, Ali S. P., Koh K. H, Chong S.K., Tiong Zeyad Assi, Obaid engin_mohammed2020@yahoo.com PID controllers PID tuning Parameter optimization Genetic algorithm (GA) Liquid-level tank PID controllers -- Design and construction Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. This paper presents a design of PID controller for liquid-level tank system. The controller is tuned online by Genetic Algorithm (GA). The liquid-level tank system has limitations and it is difficult to control optimally using only PID controller as the parameters of the system are changing constantly. For this reason the strategy of online GA tuning is used in this work. Genetic algorithm has been shown to be capable of locating high performance areas in complex domains without experiencing the difficulties associated with high dimensionality or false optima as may occur with gradient decent techniques. By using the reproduction , crossover and mutation to create the new population for other parameters, it can continuously control the liquid – level tank system until the preset iteration number is reached. Finally, the best PID parameters can be obtained using this approach. Simulation results indicate that the performance of the PID controlled system can be significantly improved by tuning with GA method. 2009-12-10T06:12:43Z 2009-12-10T06:12:43Z 2009-10-11 Working Paper p.4A5 1 - 4A 5 5 http://hdl.handle.net/123456789/7398 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic PID controllers
PID tuning
Parameter optimization
Genetic algorithm (GA)
Liquid-level tank
PID controllers -- Design and construction
spellingShingle PID controllers
PID tuning
Parameter optimization
Genetic algorithm (GA)
Liquid-level tank
PID controllers -- Design and construction
Mohammed Obaid, Ali
S. P., Koh
K. H, Chong
S.K., Tiong
Zeyad Assi, Obaid
Genetic algorithm tuning based PID Controller for liquid-level tank system
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 engin_mohammed2020@yahoo.com
author_facet engin_mohammed2020@yahoo.com
Mohammed Obaid, Ali
S. P., Koh
K. H, Chong
S.K., Tiong
Zeyad Assi, Obaid
format Working Paper
author Mohammed Obaid, Ali
S. P., Koh
K. H, Chong
S.K., Tiong
Zeyad Assi, Obaid
author_sort Mohammed Obaid, Ali
title Genetic algorithm tuning based PID Controller for liquid-level tank system
title_short Genetic algorithm tuning based PID Controller for liquid-level tank system
title_full Genetic algorithm tuning based PID Controller for liquid-level tank system
title_fullStr Genetic algorithm tuning based PID Controller for liquid-level tank system
title_full_unstemmed Genetic algorithm tuning based PID Controller for liquid-level tank system
title_sort genetic algorithm tuning based pid controller for liquid-level tank system
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7398
_version_ 1643788790511173632
score 13.226497