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具有时滞和执行器故障的非线性电力系统的容错有限时间模糊控制

Fault-tolerant finite-time fuzzy control for nonlinear power systems with time delays and actuator faults.

作者信息

Liu Wenhui, Zhou Changtai

机构信息

School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, 210023, China.

Guangdong Provincial Key Laboratory of Deep Earth Sciences and Geothermal Energy Exploitation and Utilization, Institute of Deep Earth Sciences and Green Energy, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China.

出版信息

ISA Trans. 2021 Dec;118:44-54. doi: 10.1016/j.isatra.2021.02.008. Epub 2021 Feb 11.

DOI:10.1016/j.isatra.2021.02.008
PMID:33610317
Abstract

To ensure the stability of nonlinear power systems with actuator faults and time delays, this study aims to design an adaptive fuzzy finite-time control scheme. To deal with this control issue, firstly, we propose an adaptive fault-tolerant finite-time controller using backstepping technique. To aid the controller design, fuzzy logic systems are applied to approximate the uncertain nonlinear terms without the prior information. Then, it is proved that the designed controller can ensure the stability in a finite time for the nonlinear power systems with actuator faults and time delays using Lyapunov-Krasovskii method. Finally, numerical simulations of a 4-machine power system with Thyristor Controlled Series Compensation (TCSC) illustrate the applicability of the proposed control methodology.

摘要

为确保具有执行器故障和时延的非线性电力系统的稳定性,本研究旨在设计一种自适应模糊有限时间控制方案。为解决此控制问题,首先,我们采用反步法提出一种自适应容错有限时间控制器。为辅助控制器设计,在无先验信息的情况下,应用模糊逻辑系统来逼近不确定非线性项。然后,利用Lyapunov-Krasovskii方法证明所设计的控制器能确保具有执行器故障和时延的非线性电力系统在有限时间内稳定。最后,对带有晶闸管控制串联补偿(TCSC)的四机电力系统进行数值仿真,验证了所提控制方法的适用性。

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