Adaptive robust actuator fault compensation for linear systems using a novel fault estimation mechanism

Ye, Dan; Park, Ju H.; Fan, Quan-Yong

doi:10.1002/rnc.3369

Cited by 44 publications

(26 citation statements)

References 34 publications

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“…Remark The low‐pass filter of

{\overset{ρ}{true}}_{f h}^{k} false(t false)

in observer , regarded as a feedback term, is injected into ∇ iσ ( t ), so as to guarantee effective adjusting performances while avoiding high‐frequency oscillations …”

Section: Robust Fault‐estimation Observer Designmentioning

confidence: 99%

Simultaneous fault estimation for uncertain Markovian jump systems subjected to actuator degradation

Zhang

Wang

2019

Intl J Robust & Nonlinear

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Summary This paper investigates simultaneous estimations of states, system fault, and sensor fault for a class of Markovian jump systems, resorting to the design of a robust observer, in which both the external disturbance and actuator degradation are taken into consideration. The loss‐of‐effectiveness, stuck, and outage fault cases are involved, and the considered Markovian jump system is assumed to possess generally uncertain transition rates, which can generalize the traditional bounded uncertain transition rates and partially unknown transition rates. In particular, an augmented system whose states cover the original states, system fault, and sensor fault is constructed. Then, a novel adaptive observer is presented with time‐varying gain matrices and parameter accommodation being injected to deal with the disturbance and actuator degradation. Finally, a practical example is shown to demonstrate the high efficiency of the proposed method as well as its advantages over some existing results.

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“…Remark The low‐pass filter of

{\overset{ρ}{true}}_{f h}^{k} false(t false)

in observer , regarded as a feedback term, is injected into ∇ iσ ( t ), so as to guarantee effective adjusting performances while avoiding high‐frequency oscillations …”

Section: Robust Fault‐estimation Observer Designmentioning

confidence: 99%

Simultaneous fault estimation for uncertain Markovian jump systems subjected to actuator degradation

Zhang

Wang

2019

Intl J Robust & Nonlinear

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“…Remark Due to the component damages or/and the information loss, it is an existing phenomenon that the system matrices

scriptA, scriptℬ

, and

scriptD

in are partially unknown; such as for the linear composite systems described in , there exist some subsystems possibly unknown. In this case, compared with the existing papers, see ; where the system matrices are known completely, it is certainly challenging for this paper to study the fault estimation and FTC for with partially unknown dynamics and actuator faults.Remark In this paper, mismatched exogenous disturbances are considered, whereas only matched disturbances were addressed in previous studies , that is,

scriptD = scriptℬ scriptℋ

, where

scriptℬ

is the input matrix and

scriptℋ

is a known real constant matrix. Although in , mismatched exogenous disturbances were considered as well, the matrix

scriptD

is known.…”

Section: Problem Formulationmentioning

confidence: 99%

“…□Remark In the issue for fault estimation of actuator effectiveness (gain) faults, a number of fault estimation approaches have been proposed; see, for example, . However, in the existing papers, such as , the matrices in the considered control systems are known completely, and the effectiveness fault ρ ( t ) needs to satisfy r a n k ( B ( I − Λ ( f ( ρ )))) = r a n k ( B ), which implies that ρ i ( t ) cannot fail completely. In , the system matrix is

scriptA + Δ scriptA

, and

scriptA

is known; furthermore,

scriptD = scriptℬ scriptℋ

is needed.…”

Section: Input–output Fault Estimation Proceduresmentioning

confidence: 99%

Input-output based fault estimation for linear systems with partially dynamic uncertainty and actuator faults

Huang

Yang

2016

Int. J. Robust. Nonlinear Control

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Summary This paper is concentrated on the problem of fault estimation for a class of linear systems with partially dynamic uncertainty and actuator faults. A novel input–output‐based fault estimation approach is proposed, by which the estimates can asymptotically converge to the magnitudes of the actuator faults, and the asymptotic convergence of the estimation is theoretically proved. Some important properties related to the corresponding fault errors are obtained. The proposed input–output‐based fault estimation method can exponentially weaken the effects of the fault derivatives on the fault error dynamics. Based on the online estimates, a corresponding robust fault‐tolerant control policy is designed, so that the closed‐loop system is asymptotically stable and the control output curves can asymptotically trace to the normal control output curves. Finally, three examples are given to show the effectiveness, merits, and applications of the proposed methods. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Studies are relatively less on HFV sensor faults than those on actuators. The methods previously used to handle HFV actuators are presented . Many studies on model‐based sensor faults have also been conducted .…”

Section: Introductionmentioning

confidence: 99%

Sensor cascading fault estimation and control for hypersonic flight vehicles based on a multidimensional generalized observer

Chen

Jiang

Chen

2019

Intl J Robust & Nonlinear

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Summary This study presents a sensor cascading fault estimation and fault‐tolerant control (FTC) for a nonlinear Takagi‐Sugeno fuzzy model of hypersonic flight vehicles. Sensor cascading faults indicate the occurrence of source fault will cause another fault and the interval between them is really short, which makes it difficult to handle them in succession. A novel multidimensional generalized observer is used to estimate faults by integrating constant offset and time‐varying gain faults. Then, a fault‐tolerant controller is used to solve system nonlinearity and sensor fault problems. The observer and controller satisfy the performance index and are robust to external disturbances. A sufficient condition for the existence of observer and controller is derived on the basis of Lyapunov theory. Simulation results indicate the effectiveness of the proposed fault estimation and FTC scheme.

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Adaptive robust actuator fault compensation for linear systems using a novel fault estimation mechanism

Cited by 44 publications

References 34 publications

Simultaneous fault estimation for uncertain Markovian jump systems subjected to actuator degradation

Simultaneous fault estimation for uncertain Markovian jump systems subjected to actuator degradation

Input-output based fault estimation for linear systems with partially dynamic uncertainty and actuator faults

Sensor cascading fault estimation and control for hypersonic flight vehicles based on a multidimensional generalized observer

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