In this paper, a new robust fuzzy control approach is presented to power management in the photovoltaic (PV)-battery hybrid system. The stability and robustness of the developed control scheme is analyzed through the Lyapunov technique. The dynamics of the converters, battery and PV system are assumed to be fully unknown. Specifically, the uncertainties are online estimated by the adaptive interval type-2 fuzzy neural networks. It is shown that the implemented control technique results are in good performance in the presence of time-varying radiation, changes of temperature and output load variation in comparison with the other well-known control techniques.

中文翻译：

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光伏电池混合系统的能量管理：新型2型模糊控制

本文提出了一种新的鲁棒模糊控制方法，用于光伏（PV）-电池混合系统的电源管理。通过Lyapunov技术分析了所开发控制方案的稳定性和鲁棒性。假定转换器，电池和光伏系统的动力学完全未知。具体而言，不确定性是通过自适应区间2型模糊神经网络在线估计的。结果表明，与其他众所周知的控制技术相比，在存在时变辐射，温度变化和输出负载变化的情况下，所实现的控制技术效果良好。