Sensor Fault and Unknown Input Estimation Based on Proportional Integral Observer Applied to LPV Descriptor Systems.

Abstract

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Fault reconstruction in descriptor linear parameter-varying systems via polytopic unknown-input proportional-integral observers

“…At present, only a few papers are published to deal with control problems such as observer and controller synthesis and stabilization , and so on. More recently, observer‐based fault reconstruction for such systems has been an attractive subject in many investigations and some progresses are reported in . In , a polytopic unknown input observer is presented for integrated fault diagnosis.…”

“…In , a polytopic unknown input observer is presented for integrated fault diagnosis. In , polytopic unknown‐input proportional‐integral observers (PUPOs) are synthesized to reconstruct constant actuator faults and constant unknown inputs for continuous‐time D‐LPV systems, respectively, where disturbance‐decoupling problem is solved effectively. The authors in suggest an adaptive polytopic observer to perform reconstruction of time‐varying faults under the assumption that derivatives of faults are norm‐bounded.…”

“…On the basis of the aforementioned literature review, this paper addresses an observer‐based fault reconstruction for a special class of discrete‐time D‐LPV systems that are described by polytopic representation with external disturbances and actuator faults. Motivated by the PUPOs proposed in , a novel discrete‐time PUPO will be constructed to simultaneously reconstruct system states and actuator faults. Compared with the existing PUPOs , the main contributions are summarized in three aspects: (i) the new PUPO requires fewer gain matrices and less equality constraints; thus, less computation load is needed.…”

“…Motivated by the PUPOs proposed in , a novel discrete‐time PUPO will be constructed to simultaneously reconstruct system states and actuator faults. Compared with the existing PUPOs , the main contributions are summarized in three aspects: (i) the new PUPO requires fewer gain matrices and less equality constraints; thus, less computation load is needed. (ii) With measurement noises in discrete‐time D‐LPV system, the PUPO is designed to attenuate their influences using H ∞ techniques and regional pole constraints.…”

Actuator fault diagnosis of singular delayed LPV systems with inexact measured parameters via PI unknown input observer

“…The Proportional Integral (PI) observer has been used to estimate the sizes of the faults. This observer has been used for sensor fault estimation in [6] and for actuator fault estimation in [7].…”