同时,乘动器和传感器故障估计

D. Blake, Martin Brown
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引用次数: 10

摘要

本文研究了基于观测器的方法重构多重并发传感器和执行器故障时出现的联合状态/参数估计问题。发表在[1]上的结果表明,对于这种类型的故障,使用线性诊断观测器和自适应更新规则进行故障估计,无法分离故障和系统状态的单个贡献以获得渐近收敛解。对至少存在一个无故障可测输出和无故障子空间的可观测性的基本约束使输出误差收敛,保证了状态误差收敛,从而解决了问题。还表明,所使用的系统和故障表示可以进行改造,并且在满足相同约束的情况下,允许将现有理论用于加性,同时故障估计,例如使用滑模和线性观测器。这使得对比[1]中看到的更一般的乘法故障的估计扩展到包括时变信号。
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Simultaneous, multiplicative actuator and sensor fault estimation
This paper considers the joint state/parameter estimation problem which arises when reconstructing multiplicative, simultaneous sensor and actuator faults using observer based methods. Results published in [1] for this type of fault, using a linear diagnostic observer and adaptive updating rules for the fault estimation, are shown unable to separate the individual contributions of faults and system states to obtain asymptotically convergent solutions. Basic constraints, on the presence of at least one fault-free measurable output and on the observability of the fault-free subspace, result in output error convergence guaranteeing state error convergence and resolve the problem. It is also shown that the system and fault representation used can be reformed and, meeting the same constraints, allows the use of existing theory in additive, simultaneous fault estimation, here for example using sliding-mode and linear observers. This enables an extension to the estimation of more general multiplicative faults than those seen in [1] to include time-varying signals.
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