This paper proposes a unique disturbance rejection factor (DRF) based design of direct stable adaptive fuzzy logic controllers (AFLCs) for a class of non‐linear systems with large and fast disturbances. The proposed AFLCs are realized by employing hybrid combinations of Lyapunov theory based local adaptation and harmony search algorithm based global optimization technique. These hybrid AFLCs are designed with the objective of optimizing both the structure and free parameters of it with guaranteed stability and, at the same time, simultaneously achieving satisfactory tracking performance and disturbance rejection. The novelty of the proposed work lies in the fact that, in a bid to perform the disturbance rejection, the nature of the disturbance itself is used in designing the tracking control law. The proposed DRF based hybrid stable AFLCs are implemented for several benchmark case studies and extensive performance evaluations demonstrate their usefulness.

中文翻译：

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一类非线性系统基于扰动抑制因子的稳定直接自适应模糊控制策略

本文针对一类具有大扰动和快速扰动的非线性系统，提出了一种基于直接扰动抑制因子（DRF）的直接稳定自适应模糊逻辑控制器（AFLC）的设计。通过将基于Lyapunov理论的局部自适应和基于和谐搜索算法的全局优化技术的混合组合来实现提出的AFLC。设计这些混合AFLC的目的是在保证稳定性的同时优化其结构和自由参数，同时实现令人满意的跟踪性能和干扰抑制。所提出的工作的新颖性在于，为了执行干扰抑制，在设计跟踪控制律时使用了干扰本身的性质。