Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers
Biofuels; Combustion; Controllers; Fossil fuel deposits; Fossil fuels; Fuels; Gases; Knowledge based systems; Ship propulsion; Speed; Speed control; Alternative to fossil fuels; Electrical power generation; Fossil fuel resources; Fuzzy controllers; Fuzzy Sugeno Large of Maxima; Gas turbine modeling;...
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2023
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my.uniten.dspace-229442023-05-29T14:13:34Z Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers Ali M. Simic M. Alrahman A. Nagi F. 57191335054 35215976200 57191330197 56272534200 Biofuels; Combustion; Controllers; Fossil fuel deposits; Fossil fuels; Fuels; Gases; Knowledge based systems; Ship propulsion; Speed; Speed control; Alternative to fossil fuels; Electrical power generation; Fossil fuel resources; Fuzzy controllers; Fuzzy Sugeno Large of Maxima; Gas turbine modeling; Renewable energies; Speed controller; Gas turbines Modern day gas turbines are important sources of electrical power generation, and are regarded as the prime movers in aerospace, marine propulsion. The depletion of fossil fuel resources has paved the way for the usage of biofuel and renewable energy. The challenge to this is the fact that biofuel has been considered as an alternative to fossil fuel for power generation to ensure the reliability and dependability of renewable fuels in a complex multi-domain systems such as gas turbines. The main objective of this study is to optimize the fuel control system parameters of the Rowen gas turbine model and the turbine speed controllers. Furthermore, to render the Rowen model simulation relevant for biofuel applications, real-time experimental data on speed and loads were obtained. Thus, this paper proposes micro turbines that run on biofuel-based tuned Fuzzy Sugeno Large of Maxima (FSLOM). Four controllers were used to track the speed and load data. The experimental results show that, fuzzy controllers with online gain tuning, result in the best speed controllers performance (2.0- 1.05 Sec) for the biofuel operation compared to other controllers. � 2016 The Authors. Published by Elsevier B.V. Final 2023-05-29T06:13:34Z 2023-05-29T06:13:34Z 2016 Conference Paper 10.1016/j.procs.2016.08.197 2-s2.0-84988874432 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988874432&doi=10.1016%2fj.procs.2016.08.197&partnerID=40&md5=83a377d05e29b478c55d3af4b896b0d9 https://irepository.uniten.edu.my/handle/123456789/22944 96 1507 1517 All Open Access, Bronze Elsevier B.V. Scopus |
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| description |
Biofuels; Combustion; Controllers; Fossil fuel deposits; Fossil fuels; Fuels; Gases; Knowledge based systems; Ship propulsion; Speed; Speed control; Alternative to fossil fuels; Electrical power generation; Fossil fuel resources; Fuzzy controllers; Fuzzy Sugeno Large of Maxima; Gas turbine modeling; Renewable energies; Speed controller; Gas turbines |
| author2 |
57191335054 |
| author_facet |
57191335054 Ali M. Simic M. Alrahman A. Nagi F. |
| format |
Conference Paper |
| author |
Ali M. Simic M. Alrahman A. Nagi F. |
| spellingShingle |
Ali M. Simic M. Alrahman A. Nagi F. Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers |
| author_sort |
Ali M. |
| title |
Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers |
| title_short |
Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers |
| title_full |
Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers |
| title_fullStr |
Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers |
| title_full_unstemmed |
Adaptive Fuzzy Sugeno Large of Maxima Optimization for Gas Turbine Biofuel Speed Controllers |
| title_sort |
adaptive fuzzy sugeno large of maxima optimization for gas turbine biofuel speed controllers |
| publisher |
Elsevier B.V. |
| publishDate |
2023 |
| _version_ |
1806425956165877760 |
| score |
13.188404 |