风力机系统基于H_/H∞未知输入观测器的故障诊断

Fault diagnosis of wind turbine system based on H_/H∞ unknown input observer

中文关键词  传动系统  风力机  未知输入观测器  H_/H∞性能指标

英文关键词  Drive system  Wind Turbine  Unknown input observer  H_/H∞Performance index

中文摘要

      针对实际工程中风力机传动系统未知输入难以完全解耦的问题，提出一种基于H_/H∞未知输入观测器（UIO）的故障诊断方法。利用未知输入观测器的等式条件将未知输入分解为可解耦与不可解耦两部分，并将可解耦部分从估计误差中消除。利用H_/H∞性能指标设计未知输入观测器的残差产生器，使残差对未知输入中不可解耦部分具有鲁棒性并对故障信号具有敏感性，并在观测器参数设计过程中引入松弛矩阵，从而实现风力机传动系统传感器的故障诊断。考虑到残差信号的随机特性，采用统计理论确定故障检测阈值，使故障诊断结果更具可靠性。经仿真验证该方法可对风力机传动系统传感器加性故障和乘性故障进行有效诊断。

英文摘要

      In order to solve the problem that the unknown input of the wind turbine drive system is difficult to be fully decoupled，a fault diagnosis method based on H_/H∞ unknown input observer(UIO) is proposed. The unknown input is decomposed into decoupled part and undecoupled part using the equality condition of the unknown input observer, and the decoupled part can be eliminated from the estimation error. The H_/H∞ performance index is used to design the residual generator based on unknown input observer,which makes the residual robust to the undecoupled part of the unknown input and sensitive to the fault signal. And the relaxation matrix is used to design the parameter of the observer, so as to realize the fault diagnosis of sensors in wind turbine drive system. Considering the stochastic characteristics of the residual signal, the threshold of fault detection is determined by statistical theory, which makes the fault diagnosis results more reliable. Simulation results show that this method can effectively diagnose the additive and multiplicative faults of sensors in wind turbine transmission system.