PSO Based PI Controller Design for a Solar Charger System
Due to global energy crisis and severe environmental pollution, the photovoltaic (PV) system has become one of the most important renewable energy sources. Many previous studies on solar charger integrated system only focus on load charge control or switching Maximum Power Point Tracking (MPPT) and...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/815280 |
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| author | Her-Terng Yau Chih-Jer Lin Qin-Cheng Liang |
| author_facet | Her-Terng Yau Chih-Jer Lin Qin-Cheng Liang |
| author_sort | Her-Terng Yau |
| collection | DOAJ |
| description | Due to global energy crisis and severe environmental pollution, the photovoltaic (PV) system has become one of the most important renewable energy sources. Many previous studies on solar charger integrated system only focus on load charge control or switching Maximum Power Point Tracking (MPPT) and charge control modes. This study used two-stage system, which allows the overall portable solar energy charging system to implement MPPT and optimal charge control of Li-ion battery simultaneously. First, this study designs a DC/DC boost converter of solar power generation, which uses variable step size incremental conductance method (VSINC) to enable the solar cell to track the maximum power point at any time. The voltage was exported from the DC/DC boost converter to the DC/DC buck converter, so that the voltage dropped to proper voltage for charging the battery. The charging system uses constant current/constant voltage (CC/CV) method to charge the lithium battery. In order to obtain the optimum PI charge controller parameters, this study used intelligent algorithm to determine the optimum parameters. According to the simulation and experimental results, the control parameters resulted from PSO have better performance than genetic algorithms (GAs). |
| format | Article |
| id | doaj-art-3ffcad8d73c94972b22299da0661e468 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-3ffcad8d73c94972b22299da0661e4682025-02-03T00:59:17ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/815280815280PSO Based PI Controller Design for a Solar Charger SystemHer-Terng Yau0Chih-Jer Lin1Qin-Cheng Liang2Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanGraduate Institute of Automation and Technology, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, TaiwanDue to global energy crisis and severe environmental pollution, the photovoltaic (PV) system has become one of the most important renewable energy sources. Many previous studies on solar charger integrated system only focus on load charge control or switching Maximum Power Point Tracking (MPPT) and charge control modes. This study used two-stage system, which allows the overall portable solar energy charging system to implement MPPT and optimal charge control of Li-ion battery simultaneously. First, this study designs a DC/DC boost converter of solar power generation, which uses variable step size incremental conductance method (VSINC) to enable the solar cell to track the maximum power point at any time. The voltage was exported from the DC/DC boost converter to the DC/DC buck converter, so that the voltage dropped to proper voltage for charging the battery. The charging system uses constant current/constant voltage (CC/CV) method to charge the lithium battery. In order to obtain the optimum PI charge controller parameters, this study used intelligent algorithm to determine the optimum parameters. According to the simulation and experimental results, the control parameters resulted from PSO have better performance than genetic algorithms (GAs).http://dx.doi.org/10.1155/2013/815280 |
| spellingShingle | Her-Terng Yau Chih-Jer Lin Qin-Cheng Liang PSO Based PI Controller Design for a Solar Charger System The Scientific World Journal |
| title | PSO Based PI Controller Design for a Solar Charger System |
| title_full | PSO Based PI Controller Design for a Solar Charger System |
| title_fullStr | PSO Based PI Controller Design for a Solar Charger System |
| title_full_unstemmed | PSO Based PI Controller Design for a Solar Charger System |
| title_short | PSO Based PI Controller Design for a Solar Charger System |
| title_sort | pso based pi controller design for a solar charger system |
| url | http://dx.doi.org/10.1155/2013/815280 |
| work_keys_str_mv | AT herterngyau psobasedpicontrollerdesignforasolarchargersystem AT chihjerlin psobasedpicontrollerdesignforasolarchargersystem AT qinchengliang psobasedpicontrollerdesignforasolarchargersystem |