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A study on the Photovoltaic Tracker System Using Method of Intelligent control  

Kim, Pyoung-Ho (Dept. of Information & Telecommunication, Seokang College)
Baek, Hyung-Lae (Dept. of Electrical engineering, Chosun University)
Cho, Geum-Bae (Dept. of Electrical engineering, Chosun University)
Publication Information
Journal of the Korean Solar Energy Society / v.25, no.1, 2005 , pp. 1-10 More about this Journal
Abstract
In this paper, 150W photovoltaic system using neural network tracker is proposed, the system designed as the normal line of the solar cell always runs parallel the ray of the sun. This design can minimize the cosine loss of the system output results of solar cell are sensitive to the change of weather and insolation condition don't react rapidly to parameter condition change such as system circumstance and deterioration. To achieve precise operation of photovoltaic tracker system using method of intelligent control, Neural Network is used in the design of the photovoltaic tracker system drive. The control performance of this system drive influenced by the environment parameter such as weather condition and motor parameter variations. we used synchronous motor in this tracker and the experimental results show that the fixing system shows 10,159[Wh] and tracking system shows 12,360[Wh] electricity.
Keywords
Neural network tracker: NNT; Photovoltaic system; Solar cell; Intelligent Control;
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