Analysis and detection of incipient faults in post‐fault systems subject to adaptive fault‐tolerant control

Wen, Chao; Chowdhury, Fahmida

doi:10.1002/acs.1021

Cited by 34 publications

(23 citation statements)

References 25 publications

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“…1 is considered. Each agent is assumed to be a linearised reduced-order aircraft model from [33]. Here the state variables are side-slip angle, roll rate and yaw rate.…”

Section: Simulation Examplementioning

confidence: 99%

Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

Zhao

Cao

2016

IET Control Theory & Applications

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This study considers the distributed fault-tolerant consensus problem for uncertain multi-agent systems using adaptive protocol. A more general time-varying actuator fault model is given, which includes loss of effectiveness, stuck, bias and outage fault. A new distributed adaptive control scheme is developed to compensate the effect of fault, multiple delayed state perturbations, mismatched parameter uncertainties and external disturbances on leader-follower multiagent systems. Based on the local state information of neighbouring agents, the adaptive updating protocol gains are adjusted online, which remove the assumption that the upper bounds of unknown uncertainty, delayed state perturbation and external disturbances should be known. Moreover, the consensus errors of leader-follower systems can asymptotically converge to zero. Finally, a simulation example is given to show the effectiveness of the theoretical analysis.

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“…1 is considered. Each agent is assumed to be a linearised reduced-order aircraft model from [33]. Here the state variables are side-slip angle, roll rate and yaw rate.…”

Section: Simulation Examplementioning

confidence: 99%

Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

Zhao

Cao

2016

IET Control Theory & Applications

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“…1. Each agent is assumed to be a linearised reducedorder aircraft model with external disturbance input and mismatched parameter uncertainty from [39]. The dynamics of the ith (i = 0, .…”

Section: Simulation Examplementioning

confidence: 99%

“…, 4) aircraft can be written in the form of (1) and (2), with x i (t) = [p Si (t), p Ri (t), p Yi (t)] T , and u i (t) = [q DTi (t), q AIi (t), q RUi (t), q RTVi (t), q YTVi (t)] T , where p Si (t), p Ri (t), p Yi (t), q DTi (t), q AIi (t), q RUi (t), q RTVi (t) and q YTVi (t) denote respectively side-slip angle, roll rate, yaw rate, differential tail deflection, aileron deflection, rudder deflection, roll thrust vector deflection and yaw thrust vector deflection, respectively. As done in [39], angle of attack is equal to 29 The revolution of controller parametersα ij (t),k i2 (t),k i3 (t),k i4 (t), i = 1, . .…”

Section: Simulation Examplementioning

confidence: 99%

Cooperative adaptive fault‐tolerant tracking control for a class of multi‐agent systems with actuator failures and mismatched parameter uncertainties

Wang

Yang

2015

IET Control Theory & Applications

140

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This study addresses the cooperative fault-tolerant tracking control problem for a class of multi-agent systems subject to mismatched parameter uncertainties, external disturbances and actuator faults including loss of effectiveness, outage and stuck. The communication network is undirected connected graph with a fixed topology. It is assumed that the actuator efficiency factors, the upper bounds of the unparametrisable time-varying stuck faults and disturbance, are unknown. Different from the traditional centralised fault-tolerant tracking control problem, only part of the follower nodes can obtain the information of leader directly. On the basis of the local state information of neighbouring agents, a novel cooperative fault-tolerant tracking control scheme by using adaptive mechanism is proposed. By introducing the estimates of controller parameters driven by neighbourhood tracking errors, it is shown that not only the actuator faults in the follower nodes can be compensated, but also the global tracking objective can be achieved. Furthermore, it is proved that all closedloop signals are bounded and all follower nodes asymptotically tracking to the leader can be achieved in the presence of actuator faults, external disturbances and mismatched parameter uncertainties. Finally, a numerical example is given to show the effectiveness of the proposed control scheme. IntroductionRecently, research on cooperative control of multi-agent systems (MAS) has received considerable attention from various scientific fields. It has potential applications in broad areas including the formation of flight of satellites, sensor networks, mobile robots, and so forth [1]. A number of effective approaches have been made to study the emergence of cooperative control of MAS, with many profound results established [2-4]. According to whether the desired consensus values are determined by exogenous inputs, the cooperative control of MAS are often classified as cooperative regulator problem, called consensus, and the cooperative tracking problem, known as synchronisation [5]. In literature, a series of papers addressed the cooperative tracking of general linear MAS, which referred as consensus tracking with switching topologies [6, 7], adaptive coupling strategy [8], consensus for discrete-time MAS [9], optimal control method [10] and so on. As well known, in practical applications, many MAS to be controlled have both uncertainties and external disturbances. Distributed consensus tracking problems are investigated in [11,12] for higher-order Lipschitz-type node dynamics networks under fixed undirected topology and switching directed topologies, respectively. In [13], distributed robust control problem for MAS with parameter uncertainties and external disturbances is investigated, a sufficient condition in terms of LMIs can ensure closed-loop networks is quadratically stable. On the basis of neuroadaptive method, a model reference cooperative tracking controller using state information of neighbours is designed for uncertain dynamical sys...

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“…Replacing () xk and () fk of 0 () yk in (1) with the estimated ˆ() xk and ˆ( ) fk in (19), respectively, then we obtain the reconstructed delay-free output 0 () yk of kth instant of (11). Replacing () xk of (5) …”

Section: Physically Realizable Fault-tolerant Controlmentioning

confidence: 99%

“…In [10], a post fault tolerant control approach was proposed for sensor fault of an induction motor and validated by an experiment of induction motor. For a stuck-actuator fault, [11] presented an adaptive fault-tolerant control approach to accommodate the incipient faults. Another adaptive fault-tolerant control scheme was proposed in [12] based on leader-follower consensus control when actuator faults occurred.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Fault-Tolerant Control on Faults with Prior Knowledge for Discrete Systems with Multiple Transfer Delays

Li¹,

Chen²,

Yang³

et al. 2016

IJCA

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Analysis and detection of incipient faults in post‐fault systems subject to adaptive fault‐tolerant control

Cited by 34 publications

References 25 publications

Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

Cooperative adaptive fault‐tolerant tracking control for a class of multi‐agent systems with actuator failures and mismatched parameter uncertainties

Dynamic Fault-Tolerant Control on Faults with Prior Knowledge for Discrete Systems with Multiple Transfer Delays

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