Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant
Nowadays, the use of metaheuristic optimization algorithms is becoming widespread because of easy applying and be able to provide requirements in the solution of high level complex optimization problems. In this study, four different metaheuristic optimization algorithms (particle swarm optimization...
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| Format: | Article |
| Language: | English |
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Turkish Air Force Academy
2021-07-01
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| Series: | Havacılık ve Uzay Teknolojileri Dergisi |
| Subjects: | |
| Online Access: | http://jast.hho.edu.tr/index.php/JAST/article/view/476 |
| _version_ | 1828019826563481600 |
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| author | Kunter Sercan SEZER Nevra BAYHAN |
| author_facet | Kunter Sercan SEZER Nevra BAYHAN |
| author_sort | Kunter Sercan SEZER |
| collection | DOAJ |
| description | Nowadays, the use of metaheuristic optimization algorithms is becoming widespread because of easy applying and be able to provide requirements in the solution of high level complex optimization problems. In this study, four different metaheuristic optimization algorithms (particle swarm optimization, artificial bee colony, gray wolf optimization, moth-flame optimization) are used for the optimization of the fractional order proportional-integral-derivative (FOPID) controller applied to the gas turbine power plant model, which is considered as the sample model, and the transient responses of the optimized systems compared according to the system output signals. The settling time, maximum overshoot percentage and rise time are used as comparison criteria, and then it is concluded that the grey wolf optimization and artificial bee colony algorithms provided superior results with respect to the other algorithms discussed. By using metaheuristic algorithms, the optimization of the fractional order PID controller applied to the gas turbine power plant model has been achieved. |
| first_indexed | 2024-04-10T11:27:07Z |
| format | Article |
| id | doaj.art-e47d3e8048e043f29b8068a874506e3e |
| institution | Directory Open Access Journal |
| issn | 1304-0448 1304-0448 |
| language | English |
| last_indexed | 2024-04-10T11:27:07Z |
| publishDate | 2021-07-01 |
| publisher | Turkish Air Force Academy |
| record_format | Article |
| series | Havacılık ve Uzay Teknolojileri Dergisi |
| spelling | doaj.art-e47d3e8048e043f29b8068a874506e3e2023-02-15T16:18:21ZengTurkish Air Force AcademyHavacılık ve Uzay Teknolojileri Dergisi1304-04481304-04482021-07-01142209219Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power PlantKunter Sercan SEZER0https://orcid.org/0000-0001-9428-2595Nevra BAYHAN1https://orcid.org/0000-0002-7497-2377İstanbul Universityİstanbul UniversityNowadays, the use of metaheuristic optimization algorithms is becoming widespread because of easy applying and be able to provide requirements in the solution of high level complex optimization problems. In this study, four different metaheuristic optimization algorithms (particle swarm optimization, artificial bee colony, gray wolf optimization, moth-flame optimization) are used for the optimization of the fractional order proportional-integral-derivative (FOPID) controller applied to the gas turbine power plant model, which is considered as the sample model, and the transient responses of the optimized systems compared according to the system output signals. The settling time, maximum overshoot percentage and rise time are used as comparison criteria, and then it is concluded that the grey wolf optimization and artificial bee colony algorithms provided superior results with respect to the other algorithms discussed. By using metaheuristic algorithms, the optimization of the fractional order PID controller applied to the gas turbine power plant model has been achieved.http://jast.hho.edu.tr/index.php/JAST/article/view/476metaheuristic algorithmsfractional order pidparticle swarm optimizationartificial bee colonygrey wolf optimizationmoth-flame optimization |
| spellingShingle | Kunter Sercan SEZER Nevra BAYHAN Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant Havacılık ve Uzay Teknolojileri Dergisi metaheuristic algorithms fractional order pid particle swarm optimization artificial bee colony grey wolf optimization moth-flame optimization |
| title | Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant |
| title_full | Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant |
| title_fullStr | Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant |
| title_full_unstemmed | Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant |
| title_short | Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant |
| title_sort | comparison of metaheuristic algorithm performances for optimization of fractional order pid controllers applied to gas turbine power plant |
| topic | metaheuristic algorithms fractional order pid particle swarm optimization artificial bee colony grey wolf optimization moth-flame optimization |
| url | http://jast.hho.edu.tr/index.php/JAST/article/view/476 |
| work_keys_str_mv | AT kuntersercansezer comparisonofmetaheuristicalgorithmperformancesforoptimizationoffractionalorderpidcontrollersappliedtogasturbinepowerplant AT nevrabayhan comparisonofmetaheuristicalgorithmperformancesforoptimizationoffractionalorderpidcontrollersappliedtogasturbinepowerplant |