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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| Format: | Article |
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Elsevier
2015
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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. |
| first_indexed | 2024-03-06T05:47:50Z |
| format | Article |
| id | um.eprints-19284 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:47:50Z |
| publishDate | 2015 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-192842021-02-10T03:55:08Z http://eprints.um.edu.my/19284/ 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. Elsevier 2015 Article PeerReviewed Zanil, M.F. and Hussain, Mohd Azlan (2015) Multivariable Adaptive Lyapunov Fuzzy Controller for pH Neutralisation Process. Computer Aided Chemical Engineering, 37. pp. 1643-1648. ISSN 1570-7946, DOI https://doi.org/10.1016/B978-0-444-63577-8.50119-4 <https://doi.org/10.1016/B978-0-444-63577-8.50119-4>. http://dx.doi.org/10.1016/B978-0-444-63577-8.50119-4 doi:10.1016/B978-0-444-63577-8.50119-4 |
| 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 |
| work_keys_str_mv | AT zanilmf multivariableadaptivelyapunovfuzzycontrollerforphneutralisationprocess AT hussainmohdazlan multivariableadaptivelyapunovfuzzycontrollerforphneutralisationprocess |