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Unknown Input Proportional Multiple-Integral Observer Design for Linear Descriptor Systems: Application to State and Fault Estimation

机译:线性描述符系统的未知输入比例多积分观测器设计:在状态和故障估计中的应用

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摘要

In this note, the problem of observer design for linear descriptor systems with faults and unknown inputs is considered. First, it is considered that the fault vector function f is s{top}- times piecewise continuously differentiable. If the s{top}-th time derivative of f is null, then s{top}-integral actions are included into a Luenberger observer, which is designed such that it estimates simultaneously the state, the fault, and its finite derivatives face to unknown inputs. Second, when the fault is not time piecewise continuously differentiable but bounded (like actuator noise) or s{top}-th time derivative of fault is not null but bounded too, a high gain observer is derived to attenuate the fault impact in estimation errors. The considered faults may be unbounded, may not be determinist, and faults and unknown inputs may affect the state dynamic and plant outputs. Sufficient conditions for the existence of such observer are given. Results are illustrated with a differential algebraic power system.
机译:在本说明中,考虑了具有故障和未知输入的线性描述符系统的观测器设计问题。首先,认为故障矢量函数f是分段连续微分的s {top}-倍。如果f的第s次时间导数为零,则将s {top}积分动作包含在Luenberger观测器中,该观测器的设计使其可以同时估计状态,故障及其有限导数,从而面对未知的输入。其次,当故障不是时间分段可连续微分但有界(例如执行器噪声)或故障的第s次导数也不为空而是有界时,则派生高增益观测器以减弱估计误差中的故障影响。所考虑的故障可能是无界的,可能不确定,故障和未知输入可能会影响状态动态和工厂输出。给出了这样的观察者存在的充分条件。用微分代数动力系统说明了结果。

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