| Fuzzy Variable Structure Control of Photovoltaic MPPT System |
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| 作者姓名： | 李炜 朱新坚 曹广益 |
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| 作者单位： | Department of Automation , Fuel Cell Research Institute, Shanghai Jiaotong University, Shanghai 200030 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | In order to reduce chattering phenomenon of variable structure control, a fuzzy variable structure control method is adopted and applied in the photovoitaic maximum power point tracking （MPPT） control system. Firstly, the electric features of PV cells and a dynamic model of photovoitaic system with a DGDC buck converter are analysed. Then a hybrid fuzzy variable structure controller is designed. The controller is composed of a fuzzy variable structure control term and a supervisory control term. The former is the main part of the controller and the latter is used to ensure the stability of the system. Finally, the conventional variable structure control method and the fuzzy variable structure control method are applied respectively. The comparing of simulation results shows the superiority of the latter.
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| 关 键 词： | MPPT 非对称模糊 最优梯度法 光优系统 |
| 收稿时间： | 2006-01-04 |
Fuzzy Variable Structure Control of Photovoltaic MPPT System |
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| LI Wei,ZHU Xin-jian,CAO Guang-yi.Fuzzy Variable Structure Control of Photovoltaic MPPT System[J].Journal of Donghua University,2006,23(4):69-75. |
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| Authors: | LI Wei ZHU Xin-jian CAO Guang-yi |
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| Abstract: | In order to reduce chattering phenomenon of variable structure control, a fuzzy variable structure control method is adopted and applied in the photovoltaic maximum power point tracking (MPPT) control system. Firstly, the electric features of PV cells and a dynamic model of photovoltaic system with a DC-DC buck converter are analysed. Then a hybrid fuzzy variable structure controller is designed. The controller is composed of a fuzzy variable structure control term and a supervisory control term. The former is the main part of the controller and the latter is used to ensure the stability of the system. Finally, the conventional variable structure control method and the fuzzy variable structure control method are applied respectively. The comparing of simulation results shows the superiority of the latter. |
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| Keywords: | photovoltaic fuzzy control sliding-mode control maximum power point tracking supervisory control |
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