Sliding mode observer based fault detection and isolation in descriptor systems

Yeu, Tae Kyeong; Kawaji, Shigeyasu

doi:10.1109/acc.2002.1025367

Cited by 28 publications

(31 citation statements)

References 9 publications

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“…Lots of literature [13][14][15][16][17][18][19][20] deals with the singular systems and propose many observer design methods for them. Furthermore, several works on FDD for singular systems can be found in [21][22][23][24][25]. [21] presents proportional integral observers for FDD.…”

Section: Introductionmentioning

confidence: 99%

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Fault detection and diagnosis for singular stochastic systems via B-spline expansions

Han

Tian

2009

ISA Transactions

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Section: Introductionmentioning

confidence: 99%

“…[21] presents proportional integral observers for FDD. In [22,23], using sliding mode technique, the relevant observers are designed for FDD of singular systems. [24,25] few results have been generalized for the FDD of singular stochastic systems.…”

Section: Introductionmentioning

confidence: 99%

Fault detection and diagnosis for singular stochastic systems via B-spline expansions

Han

Tian

2009

ISA Transactions

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“…Define eq v as the equivalent output error injection required maintaining the sliding motion [18]. This can be approximated online to any required accuracy.…”

Section: Fault Detection and Isolationmentioning

confidence: 99%

Model-based fault detection and isolation in steer-by-wire vehicle using sliding mode observer

Ozaki

Yeu

et al. 2009

J Mech Sci Technol

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Steer-by-Wire system (SbW), in which the conventional mechanical linkages between the steering wheel and the front wheel are removed, is suited to active steering control, improving vehicle stability, dynamics and maneuverability. And SbW is implemented to autonomous steering control to assist the driver. However, the SbW vehicle contains unsolved important problems about fault tolerant function. For example, it is the detection of sensor fault and multiplicative fault simultaneously. Fault detection and isolation (FDI) is essential in fault-tolerant problems, and conventional FDI for SbW was based on Kalman filter. But this method has weak robustness and cannot detect sensor fault and multiplicative fault simultaneously. We propose a novel model-based fault detection and isolation method using sliding mode observer in the SbW vehicle, which contains measurement of sensor fault and multiplicative fault. The effectiveness of the proposed method is verified by simulations.

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“…Remark 3 A sliding mode observer for descriptor systems of the form (6)- (7) has been proposed in [9], [10], assuming Rank E T C T = n. As a consequence, the application of these schemes to the current problem is not possible since, from (8) and (12):…”

Section: Remarkmentioning

confidence: 99%

“…A centralized Luenberger observer, designed through the graphical procedure described in [7], and an H ∞ observer, based on the ideas in [8], have been designed in [3] for large power networks modelled as DAE systems. A class of sliding mode observers for descriptor systems is proposed and analysed in [9] and [10] but, as highlighted in the following, these schemes are not suitable for the DAE model of the power network when only phase angle measurements are available. Recently in [1], necessary and sufficient conditions for the existence of a Luenberger observer for an arbitrary order DAE were given, exploiting the concept of impulse observability.…”

Section: Introductionmentioning

confidence: 99%

Second‐order sliding mode observers for fault reconstruction in power networks

Mellucci

Menon

Edwards

et al. 2017

IET Control Theory & Applications

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This paper proposes a 2-sliding mode observer to detect and reconstruct a certain class of load altering faults in a power network. The observer design is based on the recently proposed multivariable super-twisting structure. The IEEE benchmark power networks used to test the scheme are modelled as a semi-explicit class of differential algebraic equations (DAEs). For the purpose of developing the detection scheme, only the phase angles of the generators are measured, which represent a subset of the differential states of the DAEs. The objective is to estimate the differential states (the phase angles and frequencies of the generators), the algebraic states (the phase angles of the load bus tensions) and to reconstruct a class of load altering faults affecting the network. The proposed observer is assessed in simulation on two IEEE benchmarks: the 9-bus and 14-bus networks, so as to verify its capability to correctly estimate the differential and algebraic states of the network in spite of its complexity and uncertainty. Moreover, the capability of the proposed scheme to detect the presence of a load altering fault, to exactly identify its position in the network, and to precisely reconstruct the shape of the fault itself is shown and discussed.

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Sliding mode observer based fault detection and isolation in descriptor systems

Cited by 28 publications

References 9 publications

Fault detection and diagnosis for singular stochastic systems via B-spline expansions

Fault detection and diagnosis for singular stochastic systems via B-spline expansions

Model-based fault detection and isolation in steer-by-wire vehicle using sliding mode observer

Second‐order sliding mode observers for fault reconstruction in power networks

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