Active Fault Tolerance Control For Sensor Fault Problem in Wind Turbine Using SMO with LMI Approach

N. Mardiyah, N. Setyawan, Bella Retno, Zulfatman Has
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引用次数: 2

Abstract

In this paper, we start to investigate the sensor fault problem in a Wind Turbine model with Fault Tolerant Control (FTC). FTC is used to allow the parameters of the controller to be reconfigured in accordance error information obtained online from sensors to improve the stability and overall performance of the system when an error occurs. The design is divided into two parts. The first part is designed Sliding Mode Observer (SMO) based Fault Detection Filter (FDF) to generate a residual signal to estimate fault. FDF is designed to maximize sensitivity fault. The second is a design output feedback control and Fault Compensation to guarantee the stability and performance system from disturbance by ignoring faults.Moreover, the function of fault compensation is to minimize effect fault of the system. The main contribution of this research is FTC proved to solve the sensor fault problem in a Wind Turbine model. The simulation showed the effectiveness of this method to estimate the fault and stabilized the system faster to a steady condition.
基于LMI方法的SMO风电传感器故障主动容错控制
本文开始研究具有容错控制(FTC)的风力发电机模型中的传感器故障问题。FTC允许控制器的参数根据从传感器在线获得的错误信息重新配置,以提高系统发生错误时的稳定性和整体性能。本设计分为两部分。第一部分设计了基于滑模观测器(SMO)的故障检测滤波器(FDF),产生残差信号进行故障估计。FDF的设计是为了使故障的灵敏度最大化。二是设计输出反馈控制和故障补偿,通过忽略故障来保证系统的稳定性和性能。故障补偿的作用是使系统的影响故障最小化。本研究的主要贡献是证明了FTC可以解决风力发电机模型中的传感器故障问题。仿真结果表明,该方法能有效地估计故障,并能较快地将系统稳定到稳定状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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