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

Huang, Sheng‐Juan; Yang, Guang-Hong

doi:10.1002/rnc.3523

Cited by 17 publications

(22 citation statements)

References 37 publications

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“…Note that the control parameterK 0 (t) and control function K 1 (t) in controller (8) are updated by adaptive signals from adaptive mechanisms (9), (11), and (13). Note that the control parameterK 0 (t) and control function K 1 (t) in controller (8) are updated by adaptive signals from adaptive mechanisms (9), (11), and (13).…”

Section: Adaptive Fault-tolerant Controller Design Methods #1mentioning

confidence: 99%

Comparisons of adaptive fault‐tolerant insensitive control methods for a class of linear systems

Jin

Lü

Tan

et al. 2018

Adaptive Control & Signal

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In this paper, the problem of fault-tolerant insensitive control is addressed for a class of linear time-invariant continuous-time systems against bounded time-varying actuator faults and controller gain variations. Adaptive mechanisms are developed to adjust controller gains in order to compensate for the detrimental effects of partial loss of control effectiveness and bias-actuator faults. Variations of controller gains arise from time-varying and bounded perturbations that are supposed to always exist in adaptive mechanisms. Based on the disturbed outputs of adaptive mechanisms, three different adaptive control strategies are constructed to achieve bounded stability results of the closed-loop adaptive fault-tolerant control systems in the presence of actuator faults and controller gain variations. Furthermore, comparisons of convergence boundaries of states and limits of control inputs among adaptive strategies are developed in this paper. The efficiency of the proposed adaptive control strategies and their comparisons are demonstrated by a rocket fairing structural-acoustic model. KEYWORDS actuator faults, bounded stability, disturbed adaptive mechanisms, fault-tolerant control system INTRODUCTIONIn a practical control system, it is inevitable that a component such as an actuator or a sensor is faulty at some instants because of the reason of coming from the component's quality, external working environment, internal operation conditions, etc. Under unexpected faults of components, fault-tolerant control (FTC) designs are critical to be developed to maintain stability of systems and prevent performance degradation seriously. 1,2 During the past two decades, various FTC and some relative methods have been proposed for nonlinear systems such as aircraft, 3,4 robots, 5,6 interconnected systems such as networked systems 7,8 and multiagent systems, 9-11 linear systems with time delays, 12 uncertainties and disturbances, 13 state/input saturations, 14,15 and controller gain variations. 16,17 Among those methods, active FTC has received increasing attention because of its advantages of online changing controller structure and adjusting the control parameters to accommodate actuator and sensor faults.The existing active FTC designs can be broadly classified into two categories, that is, fault detection and isolation (FDI)-based FTC and adaptive FTC designs. In the study of FDI-based FTC systems, FTC strategies are designed based on the exactly faulty information, which is obtained by FDI mechanisms. 13,18 On the other hand, an adaptive technique that can estimate the changes of system parameters in real time has been widely used to deal with many issues in Int J Adapt Control Signal Process. 2019;33: 175-195. wileyonlinelibrary.com/journal/acs

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Section: Adaptive Fault-tolerant Controller Design Methods #1mentioning

confidence: 99%

Comparisons of adaptive fault‐tolerant insensitive control methods for a class of linear systems

Jin

Lü

Tan

et al. 2018

Adaptive Control & Signal

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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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“…In the work of Jia et al, the fault estimation problem for T‐S fuzzy descriptor systems has been coped with by a learning observer design approach. Regrettably, the explicit bound of fault estimation error cannot be obtained by using these methods proposed in other works . In addition, the assumption that the fault and/or its derivative should be bounded needs to be satisfied.…”

Section: Introductionmentioning

confidence: 99%

“…Regrettably, the explicit bound of fault estimation error cannot be obtained by using these methods proposed in other works. [14][15][16] In addition, the assumption that the fault and/or its derivative should be bounded needs to be satisfied. If the fault and/or its derivative is unbounded, the performance of these methods might not be as good.…”

Section: Introductionmentioning

confidence: 99%

A novel sth‐order observer for linear system: Application to state and fault estimation of spacecraft control system

Liu

Zhang

et al. 2018

Intl J Robust & Nonlinear

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Summary In this paper, a fault estimation problem for linear system is considered. A novel sth‐order observer is proposed to cope with this problem. The advantages of the proposed observer are that (i) the observer matching condition is not required to be satisfied in practical systems, (ii) if the sth derivative of fault is unknown and/or unbounded and the (s + 1)th derivative of fault f (t) is naught or bounded, it can simultaneously estimate the state and fault. The sufficient existence condition of the proposed observer is given by a linear matrix inequality. In addition, a feasible method to obtain the design parameters is discussed. Finally, two numerical examples are presented to illustrate the effectiveness of the proposed method.

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

Cited by 17 publications

References 37 publications

Comparisons of adaptive fault‐tolerant insensitive control methods for a class of linear systems

Comparisons of adaptive fault‐tolerant insensitive control methods for a class of linear systems

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

A novel sth‐order observer for linear system: Application to state and fault estimation of spacecraft control system

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