Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems
<p class="Abstract">wind energy features prominently as a supplementary energy booster. It does not pollute and is inexhaustible. However, its high cost is a major constraint, especially on the less windy sites. The purpose of wind energy systems is to maximize energy efficiency, and...
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| Format: | Article |
| Language: | English |
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Academy Publishing Center
2015-08-01
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| Series: | Renewable Energy and Sustainable Development |
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| Online Access: | http://apc.aast.edu/ojs/index.php/RESD/article/view/46 |
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| author | Souhila Rached Zine Mazari Benyounes Mohamed Amine Bouzid |
| author_facet | Souhila Rached Zine Mazari Benyounes Mohamed Amine Bouzid |
| author_sort | Souhila Rached Zine |
| collection | DOAJ |
| description | <p class="Abstract">wind energy features prominently as a supplementary energy booster. It does not pollute and is inexhaustible. However, its high cost is a major constraint, especially on the less windy sites. The purpose of wind energy systems is to maximize energy efficiency, and extract maximum power from the wind speed. In This case, the MPPT control becomes important. To realize this control, strategy conventional Proportional and Integral (PI) controller is usually used. However, this strategy cannot achieve better performance. This paper proposes other control methods of a turbine which optimizes its production such as fuzzy logic, sliding mode control. These methods improve the quality and energy efficiency. The proposed Sliding Mode Control (SMC) strategy and the fuzzy controllers have presented attractive features such as robustness to parametric uncertainties of the turbine, simplicity of its design and good performances. The simulation result under Matlab\Simulink has validated the performance of the proposed MPPT strategies.</p> |
| format | Article |
| id | doaj-art-a1b12acac1a448ee9c39cccd2eda63ef |
| institution | Kabale University |
| issn | 2356-8518 2356-8569 |
| language | English |
| publishDate | 2015-08-01 |
| publisher | Academy Publishing Center |
| record_format | Article |
| series | Renewable Energy and Sustainable Development |
| spelling | doaj-art-a1b12acac1a448ee9c39cccd2eda63ef2025-08-20T03:50:06ZengAcademy Publishing CenterRenewable Energy and Sustainable Development2356-85182356-85692015-08-0111384310.21622/resd.2015.01.1.03833Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion SystemsSouhila Rached Zine0Mazari Benyounes1Mohamed Amine Bouzid2Laboratory of development of electrical drives (LDEE)], University of Sciences and Technology Oran, AlgeriaLaboratory of development of electrical drives (LDEE)], University of Sciences and Technology Oran, AlgeriaLaboratory of Intelligent Control and Electrical Power Systems, University Djilali LIABES], Sidi Bel Abbes<p class="Abstract">wind energy features prominently as a supplementary energy booster. It does not pollute and is inexhaustible. However, its high cost is a major constraint, especially on the less windy sites. The purpose of wind energy systems is to maximize energy efficiency, and extract maximum power from the wind speed. In This case, the MPPT control becomes important. To realize this control, strategy conventional Proportional and Integral (PI) controller is usually used. However, this strategy cannot achieve better performance. This paper proposes other control methods of a turbine which optimizes its production such as fuzzy logic, sliding mode control. These methods improve the quality and energy efficiency. The proposed Sliding Mode Control (SMC) strategy and the fuzzy controllers have presented attractive features such as robustness to parametric uncertainties of the turbine, simplicity of its design and good performances. The simulation result under Matlab\Simulink has validated the performance of the proposed MPPT strategies.</p>http://apc.aast.edu/ojs/index.php/RESD/article/view/46wind turbinemaximum power point trackingsliding mode controlfuzzy logic control. |
| spellingShingle | Souhila Rached Zine Mazari Benyounes Mohamed Amine Bouzid Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems Renewable Energy and Sustainable Development wind turbine maximum power point tracking sliding mode control fuzzy logic control. |
| title | Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems |
| title_full | Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems |
| title_fullStr | Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems |
| title_full_unstemmed | Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems |
| title_short | Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems |
| title_sort | comparison of sliding mode control and fuzzy logic control applied to variable speed wind energy conversion systems |
| topic | wind turbine maximum power point tracking sliding mode control fuzzy logic control. |
| url | http://apc.aast.edu/ojs/index.php/RESD/article/view/46 |
| work_keys_str_mv | AT souhilarachedzine comparisonofslidingmodecontrolandfuzzylogiccontrolappliedtovariablespeedwindenergyconversionsystems AT mazaribenyounes comparisonofslidingmodecontrolandfuzzylogiccontrolappliedtovariablespeedwindenergyconversionsystems AT mohamedaminebouzid comparisonofslidingmodecontrolandfuzzylogiccontrolappliedtovariablespeedwindenergyconversionsystems |