Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization

Dwi Nur Fitriyanah, I. Abadi
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引用次数: 4

Abstract

One of the new renewable energy types is solar energy. Solar energy can be converted into electrical energy through photovoltaic. In order for the intensity of sunlight is received by the photovoltaic more leverage, so that made the solar tracker system with two axes. Solar tracking system control the pitch and yaw angle that can drive a DC motor. Optimize error and delta error on sun tracking system based on fuzzy logic. The boundaries of fuzzy are optimized using the Bacterial Foraging Optimization (BFO) method. Mobile PV using fuzzy control and BFO has better performance than Fuzzy Logic Controller with an efficiency increase by 0.4%.
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基于细菌觅食优化的移动光伏模糊控制设计
太阳能是一种新的可再生能源。太阳能可以通过光伏发电转化为电能。为了使光伏接收到的太阳光强度更有杠杆作用,所以使得太阳能跟踪器系统具有两轴。太阳能跟踪系统控制俯仰角和偏航角,可以驱动直流电机。基于模糊逻辑的太阳跟踪系统误差和增量误差优化。采用细菌觅食优化法对模糊边界进行优化。与模糊控制器相比,采用模糊控制和BFO的移动光伏系统的效率提高了0.4%。
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