Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System
In this paper, robust optimal control of an uncertain wind energy conversion system (WECS), described by a Takagi–Sugeno fuzzy model, is proposed to guarantee the maximum power trajectory tracking (MPTT). The design of the fuzzy optimal control is based on a quadratic criterion related to the maximu...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/5428109 |
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| _version_ | 1850216759435460608 |
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| author | Maher Kharrat Sahbi Abderrahim Moez Allouche |
| author_facet | Maher Kharrat Sahbi Abderrahim Moez Allouche |
| author_sort | Maher Kharrat |
| collection | DOAJ |
| description | In this paper, robust optimal control of an uncertain wind energy conversion system (WECS), described by a Takagi–Sugeno fuzzy model, is proposed to guarantee the maximum power trajectory tracking (MPTT). The design of the fuzzy optimal control is based on a quadratic criterion related to the maximum power tracking error. The proposed fuzzy controller allows to regulate the rectified direct current (DC) voltage of the variable-speed wind turbine by adjusting the duty cycle of a boost converter. Linear matrix inequality (LMI) conditions, ensuring the optimal H2 tracking error, are proposed for the controller gain design. Simulation as well as experimental tests are performed for efficiency evaluation of the established MPPT fuzzy control scheme under variable wind speed conditions. |
| format | Article |
| id | doaj-art-35f6e0d520b243a2893bf984a03ff86c |
| institution | OA Journals |
| issn | 1687-8442 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-35f6e0d520b243a2893bf984a03ff86c2025-08-20T02:08:13ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/5428109Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion SystemMaher Kharrat0Sahbi Abderrahim1Moez Allouche2Department of Industrial ComputingDepartment of Electrical EngineeringDepartment of Industrial ManagementIn this paper, robust optimal control of an uncertain wind energy conversion system (WECS), described by a Takagi–Sugeno fuzzy model, is proposed to guarantee the maximum power trajectory tracking (MPTT). The design of the fuzzy optimal control is based on a quadratic criterion related to the maximum power tracking error. The proposed fuzzy controller allows to regulate the rectified direct current (DC) voltage of the variable-speed wind turbine by adjusting the duty cycle of a boost converter. Linear matrix inequality (LMI) conditions, ensuring the optimal H2 tracking error, are proposed for the controller gain design. Simulation as well as experimental tests are performed for efficiency evaluation of the established MPPT fuzzy control scheme under variable wind speed conditions.http://dx.doi.org/10.1155/2022/5428109 |
| spellingShingle | Maher Kharrat Sahbi Abderrahim Moez Allouche Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System Advances in Materials Science and Engineering |
| title | Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System |
| title_full | Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System |
| title_fullStr | Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System |
| title_full_unstemmed | Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System |
| title_short | Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System |
| title_sort | robust h2 optimal ts fuzzy controller design for a wind energy conversion system |
| url | http://dx.doi.org/10.1155/2022/5428109 |
| work_keys_str_mv | AT maherkharrat robusth2optimaltsfuzzycontrollerdesignforawindenergyconversionsystem AT sahbiabderrahim robusth2optimaltsfuzzycontrollerdesignforawindenergyconversionsystem AT moezallouche robusth2optimaltsfuzzycontrollerdesignforawindenergyconversionsystem |