Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm
The main objective of the paper is to design a model reference adaptive controller (MRAC) with improved transient performance. A modification to the standard direct MRAC called fuzzy modified MRAC (FMRAC) is used in the paper. The FMRAC uses a proportional control based Mamdani-type fuzzy logic cont...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | International Journal of Chemical Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/351973 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841524589411172352 |
|---|---|
| author | Asan Mohideen Khansadurai Valarmathi Krishnasamy Radhakrishnan Thota Karunakaran |
| author_facet | Asan Mohideen Khansadurai Valarmathi Krishnasamy Radhakrishnan Thota Karunakaran |
| author_sort | Asan Mohideen Khansadurai |
| collection | DOAJ |
| description | The main objective of the paper is to design a model reference adaptive controller (MRAC) with improved transient performance. A modification to the standard direct MRAC called fuzzy modified MRAC (FMRAC) is used in the paper. The FMRAC uses a proportional control based Mamdani-type fuzzy logic controller (MFLC) to improve the transient performance of a direct MRAC. The paper proposes the application of real-coded genetic algorithm (RGA) to tune the membership function parameters of the proposed FMRAC offline so that the transient performance of the FMRAC is improved further. In this study, a GA based modified MRAC (GAMMRAC), an FMRAC, and a GA based FMRAC (GAFMRAC) are designed for a coupled tank setup in a hybrid tank process and their transient performances are compared. The results show that the proposed GAFMRAC gives a better transient performance than the GAMMRAC or the FMRAC. It is concluded that the proposed controller can be used to obtain very good transient performance for the control of nonlinear processes. |
| format | Article |
| id | doaj-art-01591554430849fa9d4457b3eabd9d21 |
| institution | Kabale University |
| issn | 1687-806X 1687-8078 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Chemical Engineering |
| spelling | doaj-art-01591554430849fa9d4457b3eabd9d212025-02-03T05:52:47ZengWileyInternational Journal of Chemical Engineering1687-806X1687-80782014-01-01201410.1155/2014/351973351973Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic AlgorithmAsan Mohideen Khansadurai0Valarmathi Krishnasamy1Radhakrishnan Thota Karunakaran2National College of Engineering, Maruthakulam, Tirunelveli District, Tamil Nadu 627151, IndiaPSR Engineering College, Sivakasi, Virudhunagar District, Tamil Nadu 626140, IndiaNational Institute of Technology, Thiruchirappalli, Tamil Nadu 620015, IndiaThe main objective of the paper is to design a model reference adaptive controller (MRAC) with improved transient performance. A modification to the standard direct MRAC called fuzzy modified MRAC (FMRAC) is used in the paper. The FMRAC uses a proportional control based Mamdani-type fuzzy logic controller (MFLC) to improve the transient performance of a direct MRAC. The paper proposes the application of real-coded genetic algorithm (RGA) to tune the membership function parameters of the proposed FMRAC offline so that the transient performance of the FMRAC is improved further. In this study, a GA based modified MRAC (GAMMRAC), an FMRAC, and a GA based FMRAC (GAFMRAC) are designed for a coupled tank setup in a hybrid tank process and their transient performances are compared. The results show that the proposed GAFMRAC gives a better transient performance than the GAMMRAC or the FMRAC. It is concluded that the proposed controller can be used to obtain very good transient performance for the control of nonlinear processes.http://dx.doi.org/10.1155/2014/351973 |
| spellingShingle | Asan Mohideen Khansadurai Valarmathi Krishnasamy Radhakrishnan Thota Karunakaran Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm International Journal of Chemical Engineering |
| title | Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm |
| title_full | Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm |
| title_fullStr | Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm |
| title_full_unstemmed | Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm |
| title_short | Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm |
| title_sort | improved transient performance of a fuzzy modified model reference adaptive controller for an interacting coupled tank system using real coded genetic algorithm |
| url | http://dx.doi.org/10.1155/2014/351973 |
| work_keys_str_mv | AT asanmohideenkhansadurai improvedtransientperformanceofafuzzymodifiedmodelreferenceadaptivecontrollerforaninteractingcoupledtanksystemusingrealcodedgeneticalgorithm AT valarmathikrishnasamy improvedtransientperformanceofafuzzymodifiedmodelreferenceadaptivecontrollerforaninteractingcoupledtanksystemusingrealcodedgeneticalgorithm AT radhakrishnanthotakarunakaran improvedtransientperformanceofafuzzymodifiedmodelreferenceadaptivecontrollerforaninteractingcoupledtanksystemusingrealcodedgeneticalgorithm |