Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process

A multivariable fuzzy logic controller with Lyapunov adaptive control scheme has been developed for a pH neutralisation process. In this study, the nominal neutralisation process condition exhibit nonlinear dynamics and multi-delayed-effects input variables. The proposed controller uses a Takagi-Sug...

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Main Authors: Zanil, M.F., Hussain, Mohd Azlan
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.um.edu.my/14130/1/Multivariable_Adaptive_Lyapunov_Fuzzy.pdf
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author Zanil, M.F.
Hussain, Mohd Azlan
author_facet Zanil, M.F.
Hussain, Mohd Azlan
author_sort Zanil, M.F.
collection UM
description A multivariable fuzzy logic controller with Lyapunov adaptive control scheme has been developed for a pH neutralisation process. In this study, the nominal neutralisation process condition exhibit nonlinear dynamics and multi-delayed-effects input variables. The proposed controller uses a Takagi-Sugeno fuzzy inference system and it has been optimised by genetic algorithm which minimizing the closed loop error in feedback control system. The optimised structure is used to predict three-difference control action simultaneously. The Lyapunov function is integrated in the fuzzy inference calculation at output membership function. The proposed controller has been tested and compared in several cases such as for set-point tracking, model plant mismatch and unknown disturbance. The adaptive fuzzy controller demonstrate better performance over the conventional PID controller in all the tested cases.
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spelling um.eprints-141302021-02-10T03:24:58Z http://eprints.um.edu.my/14130/ Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process Zanil, M.F. Hussain, Mohd Azlan TP Chemical technology A multivariable fuzzy logic controller with Lyapunov adaptive control scheme has been developed for a pH neutralisation process. In this study, the nominal neutralisation process condition exhibit nonlinear dynamics and multi-delayed-effects input variables. The proposed controller uses a Takagi-Sugeno fuzzy inference system and it has been optimised by genetic algorithm which minimizing the closed loop error in feedback control system. The optimised structure is used to predict three-difference control action simultaneously. The Lyapunov function is integrated in the fuzzy inference calculation at output membership function. The proposed controller has been tested and compared in several cases such as for set-point tracking, model plant mismatch and unknown disturbance. The adaptive fuzzy controller demonstrate better performance over the conventional PID controller in all the tested cases. 2015-06 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/14130/1/Multivariable_Adaptive_Lyapunov_Fuzzy.pdf Zanil, M.F. and Hussain, Mohd Azlan (2015) Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process. In: 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, 31 May – 4 June 2015, Copenhagen, Denmark.
spellingShingle TP Chemical technology
Zanil, M.F.
Hussain, Mohd Azlan
Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
title Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
title_full Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
title_fullStr Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
title_full_unstemmed Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
title_short Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
title_sort multivariable adaptive lyapunov fuzzy controller for ph neutralisation process
topic TP Chemical technology
url http://eprints.um.edu.my/14130/1/Multivariable_Adaptive_Lyapunov_Fuzzy.pdf
work_keys_str_mv AT zanilmf multivariableadaptivelyapunovfuzzycontrollerforphneutralisationprocess
AT hussainmohdazlan multivariableadaptivelyapunovfuzzycontrollerforphneutralisationprocess