Academic Journal
Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant
العنوان: | Comparison of Metaheuristic Algorithm Performances for Optimization of Fractional Order PID Controllers Applied to Gas Turbine Power Plant |
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المؤلفون: | Kunter Sercan SEZER, Nevra BAYHAN |
المصدر: | Havacılık ve Uzay Teknolojileri Dergisi, Vol 14, Iss 2, Pp 209-219 (2021) |
بيانات النشر: | Turkish Air Force Academy, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Technology LCC:Motor vehicles. Aeronautics. Astronautics |
مصطلحات موضوعية: | metaheuristic algorithms, fractional order pid, particle swarm optimization, artificial bee colony, grey wolf optimization, moth-flame optimization, Technology, Motor vehicles. Aeronautics. Astronautics, TL1-4050 |
الوصف: | 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1304-0448 |
Relation: | http://jast.hho.edu.tr/index.php/JAST/article/view/476; https://doaj.org/toc/1304-0448 |
URL الوصول: | https://doaj.org/article/e47d3e8048e043f29b8068a874506e3e |
رقم الانضمام: | edsdoj.47d3e8048e043f29b8068a874506e3e |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 13040448 |
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