Observer-based fault reconstruction for linear systems using adaptive sliding mode method

Li, Hao; Yang, Ying; Wei, Yifan; Dai, Fengzhi

doi:10.2991/jrnal.2017.3.4.6

Cited by 5 publications

(8 citation statements)

References 5 publications

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“…The e a, y is also converged to zero based on following Lyapunov candidate with same condition of equations (10) and 11:…”

Section: Fault Reconstruction For Acceleration Sensormentioning

confidence: 99%

“…Likewise as equations (9) and (10), when the fault exists after the errors converge to zero, the separated error dynamics can be rewritten as follows:…”

Section: _ E a 1 =mentioning

confidence: 99%

“…Rahme and Meskin 9 have proposed a sensor fault diagnosis algorithm for an industrial gas turbine by developing an adaptive sliding mode observer that realizes error convergence regardless of the faults. Li et al 10 designed a new disturbance-decoupled fault reconstruction based on an observer, and carried out a simulation to evaluate the design. Boukhari et al 11 proposed two fault tolerant schemes.…”

Section: Introductionmentioning

confidence: 99%

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Dual-sliding mode approach for separated fault detection and tolerant control for functional safety of longitudinal autonomous driving

Song

Min

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper describes model-based separated fault detection and fault tolerant control of longitudinal autonomous driving using dual-sliding mode observer for functional safety. Internal and environment sensors such as camera or radar are required to measure the acceleration information of the subject vehicle and the relative distance and velocity information between the preceding and subject vehicles in longitudinal autonomous driving. In order to detect the independent fault of each sensor, a dual-sliding mode observer (SMO) is used for fault reconstruction under the assumption that V2V (Vehicle to Vehicle) communication for vehicle driving state is available. The each SMO reconstructs the expected fault in sensor based on discontinuous injection term used for converging output error to zero. Based on the reconstructed fault by each SMO, faults are detected using threshold approach. When the fault is detected, the reconstructed fault is used for fault tolerant control by subtracting to faulty data. The proposed fault detection (FD) and fault tolerant control (FTC) algorithms were evaluated using actual driving data and a three-dimensional (3D) vehicle model with a linear quadratic regulator for following control. The evaluation results are presented and analyzed with regard to fault reconstruction, detection, and tolerant control in four cases wherein two types of faults were applied.

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“…The e a, y is also converged to zero based on following Lyapunov candidate with same condition of equations (10) and 11:…”

Section: Fault Reconstruction For Acceleration Sensormentioning

confidence: 99%

“…Likewise as equations (9) and (10), when the fault exists after the errors converge to zero, the separated error dynamics can be rewritten as follows:…”

Section: _ E a 1 =mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dual-sliding mode approach for separated fault detection and tolerant control for functional safety of longitudinal autonomous driving

Song

Min

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Hence, monitoring and measurements in complex nonlinear multi-phase systems using conventional methods, such as state feedback and linear control, cannot provide a robust and reliable flow estimation performance. To compensate the uncertainties and mitigate the disturbances, advanced control methods such as Adaptive, Robust and Sliding mode have been successfully tested [24] , [25] , [26] , [27] , [28] , [29] . Sliding Mode control method has the advantage of providing superior performance for those multi-phase flow systems with strong perturbation and spatiotemporal changes in the control parameters [29] .…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Observer Design for decentralized multi-phase flow estimation

Farahani

Abolfathi

2022

Heliyon

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“…The complexity of the oil and gas industry has already highlighted the need for reliability and safety. Therefore, a large number of studies have led to the monitoring of the systems states, fault detection, isolation, restoration, and numerous methods based on sliding mode control have been used for this purpose (Augusto et al, 2018; Kommuri and Lee, 2018; Li et al, 2017; Sedigh and Shoorehdeli, 2016). Industrial systems are subject to many uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Multi-phase flow measurement in a gas refinery using decentralized Lyapunov–based adaptive observer

Farahani

Montazeri

2020

Transactions of the Institute of Measurement and Control

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This paper presents a new Lyapunov-based nonlinear adaptive observer and joint unscented Kalman filter to precisely estimate the states and the parameters for the low-order lumped model of the multi-phase flow at the gas refinery. The main focus of the study is to estimate the discharge coefficient of the orifice meter installed on the interconnection lines of the subsystems (parameters) and the total oil and gas mass flows (states). The adaptive estimation is conducted using the real-time measurements including choke pressure, bottom line pressure, single-phase gas flow, and single-phase liquid flow in the refinery outlet. To check the stability and performance of the system against changes, the Lyapunov theory has been used. In all stages, the investigations were based on the data collected from the actual process in the South Pars Gas Complex, Iran. Using the dynamic HYSYS simulation, it is found that the proposed adaptive observer is capable of estimating the oil and gas flows and identifying the discharge coefficient of the flow meter at issue. To show the performance of the proposed adaptive observer, it is evaluated against and compared with the unscented Kalman filter. The comparison of the results obtained from the proposed observer, unscented Kalman filter, and dynamic HYSYS simulation with data collected from the actual process of the refinery shows the appropriate performance of the both estimation algorithms in detecting the changes in liquid and gas flow rates and the consistency of their results with the real process in the South Pars Gas Complex. The simulations reveal that low-order lumped model is sufficient for estimation of parameters and states of the multiphase flow entering the gas refinery.

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Observer-based fault reconstruction for linear systems using adaptive sliding mode method

Cited by 5 publications

References 5 publications

Dual-sliding mode approach for separated fault detection and tolerant control for functional safety of longitudinal autonomous driving

Dual-sliding mode approach for separated fault detection and tolerant control for functional safety of longitudinal autonomous driving

Sliding Mode Observer Design for decentralized multi-phase flow estimation

Multi-phase flow measurement in a gas refinery using decentralized Lyapunov–based adaptive observer

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