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Designing an adaptive type-2 fuzzy logic system load frequency control for a nonlinear time-delay power system

机译:设计非线性时滞电力系统的自适应2型模糊逻辑系统负载频率控制

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摘要

In this paper, a combination of type-2 fuzzy logic system (T2FLS) and a conventional feedback controller (CFC) has been designed for the load frequency control (LFC) of a nonlinear time-delay power system. In this approach, the T2FLS controller which is designed to overcome the uncertainties and nonlinearites of the controlled system is in the feedforward path and the CFC which plays an important role in the transient state is in the feedback path. A Lyapunov-Krasovskii functional has been used to ensure the stability of the system and the parameter adjustment laws for the T2FLS controller are derived using this functional. In this training method, the effect of delay has been considered in tuning the T2FLS controller parameters and thus the performance of the system has been improved. The T2FLS controller is used due to its ability to effectively model uncertainties, which may exist in the rules and data measured by the sensors. To illustrate the effectiveness of the proposed method, a two-area nonlinear time-delay power system has been used and compared with the controller that uses the gradient-descend (GD) algorithm to tune the T2FLS controller parameters. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文针对非线性时滞电力系统的负载频率控制(LFC)设计了2型模糊逻辑系统(T2FLS)和常规反馈控制器(CFC)的组合。在这种方法中,旨在克服受控系统的不确定性和非线性的T2FLS控制器位于前馈路径中,而在瞬态中起重要作用的CFC位于反馈路径中。已使用Lyapunov-Krasovskii功能来确保系统的稳定性,并使用此功能导出T2FLS控制器的参数调整律。在这种训练方法中,在调整T2FLS控制器参数时已考虑了延迟的影响,因此改善了系统的性能。使用T2FLS控制器是因为其能够有效地对不确定性进行建模,不确定性可能存在于传感器测量的规则和数据中。为了说明所提方法的有效性,已使用两区域非线性时滞电源系统,并将其与使用梯度下降(GD)算法调整T2FLS控制器参数的控制器进行了比较。 (C)2016 Elsevier B.V.保留所有权利。

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