模糊控制器在小型风能转换系统桨距控制中的应用

J. V. Demata, J. N. M. Dimazana, R. S. Fausto, G. Magwili, E. Chua, M. Pacis
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引用次数: 0

摘要

风力涡轮机是一种将风能转化为电能的装置。本研究的主要目的是利用模糊控制器来控制风力机叶片的俯仰角,并设计、制造和测试风力机。模糊控制器作为风力机俯仰角控制的主控制器。它以这样一种方式编程,即叶片的俯仰角取决于风力涡轮机相对于理想目标电压产生的风速和误差电压。程序中设置的参数是基于电池负载的风力涡轮机输出电压的期望范围和原型将被测试的选定位置的典型风速。风力发电机组的试验考虑了受控环境和非受控环境。数据采集的参数有风速、电压、电流、计算功率和叶片角度值。比较了带模糊控制器的最佳试验和不带模糊控制器的最佳试验,探讨了带俯仰角控制的风力机设计的相关性。通过模糊控制器OFF的室外测试,发现叶片倾斜45度时的最佳情况,平均发电功率最高,为86.98 mW,而叶片倾斜60度、75度和90度时的平均发电功率分别为78.98 mW、62.42 mW和17.88 mW。
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Utilization of Fuzzy Logic Controller for Pitch Control of a Small Scale Wind Energy Conversion System (WECS)
A wind turbine is a device that converts kinetic energy from the wind into electrical energy. The main purpose of this study is to design, construct and test a wind turbine with fuzzy logic controller to manipulate the pitch angle of the blades of the wind turbine. The fuzzy logic controller serves as the main control for the pitch angle control of the wind turbine. It is programmed in such a way that the pitch angle of the blade is dependent to the wind speed and error voltage produced by the wind turbine with respect to the ideal target voltage. The parameters set in the program are based on a desired range of the output voltage of the wind turbine for a battery load and typical wind speed of the chosen location where the prototype will be tested. For the testing of the wind turbine, uncontrolled and controlled environments are considered. The parameters gathered for data are wind speed, voltage, current, computed power and value of the angle of the blades. The best trial with fuzzy logic controller and the best trial without fuzzy logic controller are compared to see the relevance of designing a wind turbine with pitch angle control. Through the outdoor testing with fuzzy logic controller OFF, it was found out that the best case happened when the blades are inclined in 45 degrees because it has the highest average power generated having a value of 86.98 mW compared to the 60, 75 and 90 degrees blade inclination having an average power generated of 78.98 mW, 62.42 mW and 17.88 mW.
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