Abstract In this paper, a novel beta parameter three-input one-output fuzzy-logic based maximum power point tracking (MPPT) algorithm is presented for the photovoltaic (PV) system application. The conventional fuzzy-logic controllers (FLCs) exhibit obvious limitations such as their dependence on the user's knowledge about the system and complicated rules. Furthermore, they show inherent dilemma between the rules number of FLC and the universality for various operating conditions, which is revealed and explained with details in this paper. Thus, a novel FLC is proposed by introducing a third input: an intermediate variable β. It can simplify the fuzzy rule membership functions and cover wider operating conditions. The dependence on the user's knowledge about the system is reduced. The converging speed for transients is improved and oscillations around the MPPs are completely eliminated compared with conventional MPPT methods. Typical operation conditions such as varying solar irradiation and load resistance are tested for fair comparison of various algorithms. An experimental prototype was designed and main experimental results were presented to verify the advantages of the proposed algorithm.

中文翻译：

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一种用于光伏 MPPT 应用的新型基于β参数的模糊逻辑控制器

摘要 在本文中，针对光伏（PV）系统应用，提出了一种新的基于β参数三输入一输出模糊逻辑的最大功率点跟踪（MPPT）算法。传统的模糊逻辑控制器 (FLC) 表现出明显的局限性，例如它们依赖于用户对系统的知识和复杂的规则。此外，它们显示了 FLC 的规则数与各种操作条件的通用性之间的内在困境，本文对此进行了详细揭示和解释。因此，通过引入第三个输入：中间变量 β，提出了一种新的 FLC。它可以简化模糊规则隶属函数并覆盖更广泛的操作条件。减少了对用户对系统知识的依赖。与传统的 MPPT 方法相比，瞬态的收敛速度得到提高，并且 MPP 周围的振荡完全消除。测试典型的操作条件，例如不同的太阳辐射和负载电阻，以公平比较各种算法。设计了实验样机并给出了主要实验结果，验证了所提算法的优越性。