Robust and reliable H∞ control for linear systems with parameter uncertainty and actuator failure

An integrated design of the adaptive robust control and the fault identification for a linear system with actuator faults is proposed. When actuators suffer from unpredicted faults, the proposed control strategy can track the actuator fault parameters adaptively without any prior fault information, and guarantee the robustness of the faulty system. An unknown input observer is designed to decouple the disturbance and the actuator faults. Then an adaptive control law with projection is presented to track the fault parameters. A new definition of robust H ∞ -like performance is proposed to ensure that the system is robust for both exogenous disturbance and unpredicted faults. Then the adaptive robust control law is designed to guarantee the system satisfying the robust H ∞ -like performance. Finally, the effectiveness of this control strategy is illustrated through the faulttolerant longitudinal control of the simplified F-18 aircraft model.

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“…Then we have (see (20)) So, it can be easily obtained thatV (t) , 0 when w(t) = 0 and x(t) ≠ 0, that is, system (3) is asymptotically stable.…”

Section: Robust H ∞ -Like Control Design With Estimated Parametersmentioning

confidence: 96%

Adaptive fault‐tolerant robust control for a linear system with adaptive fault identification

Shen

Liu

Dowell

2013

IET Control Theory & Applications

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“…The existing methods of fault tolerant control techniques against actuator faults can be categorized into two groups: passive (Seo and Kim, 1996;Cheng and Zhao, 2004) and active approaches (Zhang and Jiang, 2002;Jiang and Zhang, 2006). Zheng (2003) proposed a passive controller for NCSs considering random time delays.…”

Section: Fault-tolerant Control Of Ncssmentioning

confidence: 99%

Fault Diagnosis of Networked Control Systems

Aubrun¹,

Sauter²,

Yamé³

2008

International Journal of Applied Mathematics and Computer Science

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Networked Control Systems (NCSs) deal with feedback control systems with loops closed via data communication networks. Control over a network has many advantages compared with traditionally controlled systems, such as a lower implementation cost, reduced wiring, simpler installation and maintenance and higher reliability. Nevertheless, the networkinduced delay, packet dropout, asynchronous behavior and other specificities of networks will degrade the performance of closed-loop systems. In this context, it is necessary to develop a new theory for systems that operate in a distributed and asynchronous environment. Research on Fault Detection and Isolation (FDI) for NCSs has received increasing attention in recent years. This paper reviews the state of the art in this topic.

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“…A state feedback output tracking adaptive control scheme which is developed for plants with actuator failures is proposed by Tao et al [6]. Seo and Kim [7] designed a robust and reliable ∞ control for linear uncertain systems with actuator failures. The previous studies focused mainly on the linear systems or the one-dimensional nonlinear system.…”

Section: Introductionmentioning

confidence: 99%

Asymptotic Stability of Delay-Controlled Nonlinear Stochastic Systems with Actuator Failures

Zhou¹,

Huan²

2017

Shock and Vibration

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The problem of asymptotic stability of delay-controlled nonlinear stochastic systems with actuator failures is investigated in this paper. Such a system is formulated as a continuous-discrete hybrid system based on the random switch model of failure-prone actuator. Time delay control force is converted into delay-free one by randomly periodic characteristic of the system. Using limit theorem and stochastic averaging, an approximate formula for the largest Lyapunov exponent of the original system is then derived, from which necessary and sufficient conditions for asymptotic stability are obtained. The validity and utility of the proposed procedure are demonstrated by using a stochastically driven nonlinear two-degree system with time delay feedback and actuator failure.

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Robust and reliable H∞ control for linear systems with parameter uncertainty and actuator failure

Cited by 112 publications

References 8 publications

Adaptive fault‐tolerant robust control for a linear system with adaptive fault identification

Adaptive fault‐tolerant robust control for a linear system with adaptive fault identification

Fault Diagnosis of Networked Control Systems

Asymptotic Stability of Delay-Controlled Nonlinear Stochastic Systems with Actuator Failures

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