2019
DOI: 10.1177/0142331219841111
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Fault tolerant control with disturbance estimator for a class of linear parameter varying systems subject to time-varying fault

Abstract: This paper proposes a sliding-mode control (SMC) scheme for a class of linear parameter varying (LPV) systems subject to a loss of control effectiveness and external disturbance. The LPV model is transformed into the non-LPV model representation. The updating law for unknown time-varying fault and the disturbance estimator are designed. The novel sliding-mode fault tolerant control (FTC) law is presented by using estimated fault and estimated disturbance to compensate the effects of faults in both cases: the k… Show more

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Cited by 4 publications
(1 citation statement)
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“…With the increasing scale and complexity of networked control systems (NCSs), the fault-tolerance ability is no longer the luxury property of NCSs, and it will become an essential feature to ensure that the system performance is maintained under all eventualities [1]. Therefore, as an important technology for improving system safety and reliability [2], the fault-tolerant control of NCSs is attracting increasing attention and some outstanding research results [3]- [5] have been achieved in recent years. In actual industry processes, the controlled plant is often more or less subject to nonlinear properties, which leads to a substantial amount of nonlinear controlled plant.…”
Section: Introductionmentioning
confidence: 99%
“…With the increasing scale and complexity of networked control systems (NCSs), the fault-tolerance ability is no longer the luxury property of NCSs, and it will become an essential feature to ensure that the system performance is maintained under all eventualities [1]. Therefore, as an important technology for improving system safety and reliability [2], the fault-tolerant control of NCSs is attracting increasing attention and some outstanding research results [3]- [5] have been achieved in recent years. In actual industry processes, the controlled plant is often more or less subject to nonlinear properties, which leads to a substantial amount of nonlinear controlled plant.…”
Section: Introductionmentioning
confidence: 99%