A fault-tolerant control approach for aircraft engine using a bank of LMI-based UIO filters

He, Ai; Tan, Daoliang; Wang, Xi

doi:10.1109/icecc.2011.6066717

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…An aircraft engine system is considered in the part 53 . Converting the original continuous‐time model into discrete‐time model with a sampling period of 0.01 s and then assuming that x 1 ( k ) is disturbed by multiple time‐varying delays, the following parameters are described.…”

Section: Simulation Resultsmentioning

confidence: 99%

Fault estimation and tolerant control for discrete‐time nonlinear stochastic multiple‐delayed systems with intermittent sensor and actuator faults

Sun

Dai

Cai

et al. 2020

Intl J Robust & Nonlinear

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This article is concerned with the design of the observer and controller to perform fault estimation (FE) and fault tolerant control for the discrete-time nonlinear stochastic systems with multiple time-varying state delays and intermittent sensor and actuator faults. In comparison with the present research, the method addressed in this article is more flexible and feasible. A novel adaptive descriptor observer is developed to obtain the error dynamics and then realize n-step FE. Then, an active observer-based controller is constructed to stabilize the closed-loop system. Moreover, an augmented closed-loop system is acquired and a series of delay-dependent sufficient conditions are collected by the delay-dependent Lyapunov function utilizing linear matrix inequalities. The method is less conservative compared with the ones of the existence. At last, a simulation example is presented to demonstrate the advantages and effectiveness of the approach proposed in the article.

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Section: Simulation Resultsmentioning

confidence: 99%

Fault estimation and tolerant control for discrete‐time nonlinear stochastic multiple‐delayed systems with intermittent sensor and actuator faults

Sun

Dai

Cai

et al. 2020

Intl J Robust & Nonlinear

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“…The original model is a linearized continuous-time system [35]. With a sampling period of 0.1 sec, one can obtain a discrete-time model, where its parameters are as following.…”

Section: Examplementioning

confidence: 99%

Reliable H∞ control for uncertain nonlinear discrete-time systems subject to multiple intermittent faults in sensors and/or actuators

Yuan

Shen

Wang

et al. 2015

Journal of the Franklin Institute

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“…Model-based fault detection and isolation (FDI) techniques have been used in a wide range of industrial and commercial applications (Zhang et al , 2009). Especially, the unknown input observer (UIO) method is followed by academia and industry owing to the effect on the state estimation error (He et al , 2011). UIO removes the unknown disturbance effect on the state estimation vector and calculates a robust residual (Chen and Patton, 1999).…”

Section: Nomenclaturementioning

confidence: 99%

“…According to the accessible literature works, various UIO applications of aircraft engines can be seen. He et al (2011) proposed a fault tolerant approach via a bank of UIOs for aircraft engine sensor faults. The UIO designed and formulated in terms of linear matrix inequalities.…”

Section: Nomenclaturementioning

confidence: 99%

Multiple fault-based FDI and reconfiguration for aircraft engine sensors

Yazar

Çalışkan

Kiyak

2017

AEAT

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Purpose Condition monitoring and health management of an aircraft engine is of importance due to engine’s critical position in aircraft. Missions require uninterrupted and safer conditions during the flight or taxi operations. Hence, the deviations, abnormal situations or failures have to be under control. This paper aims to propose a cascade connected approach for an aircraft engine fault tolerant control. Design/methodology/approach The cascade connected structure includes a full-order unknown input observer for fault detection and eliminating the unknown disturbance effect on system, a generalized observer scheme for fault isolation and a Boolean logic mechanism for decision-making in reconfiguration process, respectively. This combination is simulated on a linear turbojet engine model in case of unknown input disturbance and under various sensor failure scenarios. Findings The simulation results show that the suggested fault detection isolation reconfiguration (FDIR) approach works effectively for multiple sensor failures with various amplitudes. Originality/value Different from other studies, the proposed model is sensitive to unknown input disturbance and failures that have unknown amplitudes. One another notable feature of suggested FDIR approach is adaptability of structure against multiple sensor failures. Here, it is assumed that only a single fault is to be detected and isolated at a time. The simulation results show that the proposed structure can be suggested for linear models especially for physical redundancy-based real-time applications easily, quickly and effectively.

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A fault-tolerant control approach for aircraft engine using a bank of LMI-based UIO filters

Cited by 7 publications

References 8 publications

Fault estimation and tolerant control for discrete‐time nonlinear stochastic multiple‐delayed systems with intermittent sensor and actuator faults

Fault estimation and tolerant control for discrete‐time nonlinear stochastic multiple‐delayed systems with intermittent sensor and actuator faults

Reliable H∞ control for uncertain nonlinear discrete-time systems subject to multiple intermittent faults in sensors and/or actuators

Multiple fault-based FDI and reconfiguration for aircraft engine sensors

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