基于特征结构分配的鲁棒故障检测:一个教程的考虑和一些新的结果

Ron J. Patton, Jie Chen
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引用次数: 204

摘要

讨论了鲁棒故障检测的特征结构分配方法的发展。通过适当地分配观测器的特征结构,残差信号与干扰解耦。这项工作的主要贡献是新颖地使用了观察者的右特征向量分配,这为实现干扰解耦提供了更大的自由度。结果表明,当解耦条件满足时,所得到的无差拍设计等价于残差产生的一阶宇称空间结构。给出了两个教程示例来说明扰动解耦性质和左特征向量或右特征向量可赋值的条件
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust fault detection using eigenstructure assignment: a tutorial consideration and some new results
Developments in the eigenstructure assignment approach to robust fault detection are discussed. By suitable assignment of the eigenstructure of an observer, the residual signal is decoupled from disturbances. The main contribution of this work is the novel use of right eigenvector assignment of observers, which gives more freedom for achieving disturbance decoupling. It is shown that, when decoupling conditions are satisfied, the resulting deadbeat design is equivalent to the first-order parity space structure for residual generation. Two tutorial examples are presented to illustrate the disturbance decoupling property and the conditions under which left or right eigenvectors are assignable.<>
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