Automatic Control Technology of Photovoltaic Tracker Based on Fuzzy State Estimation
In order to improve the efficiency and performance of photovoltaic systems and better utilize solar energy,a photovoltaic tracker automation control technology based on fuzzy state estimation is proposed.Based on the equivalent model of photovoltaic cells,analyze the output characteristics of photovoltaic cells at different temperatures and light in-tensities;Track and control the maximum power point,calculate the output voltage and current,and determine the posi-tion of the working point and the photovoltaic tracker.Combining the duty cycle disturbance method and fuzzy controller,determine the fuzzy input quantity,output variable,and duty cycle correction amount.Based on fuzzy control rules,de-termine and clarify the accurate control quantity,and achieve the automation control of the photovoltaic tracker.The ex-perimental results show that the photovoltaic tracker controlled by this method has a stable tracking success rate of 0.97 or above under different light intensities and temperatures;This method has high response speed and stability for tracking the maximum power point.
Equivalent modelOutput characteristicsFuzzy statePhotovoltaic cellsPhotovoltaic trackerAutomation control
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