Fault diagnosis based on sliding mode observer for LPV descriptor systems
This paper considers the problem of fault detection and reconstruction of actuator faults for linear parameter varying descriptor systems. A polytopic sliding mode observer (PSMO) is constructed to achieve simultaneous reconstruction of LPV polytopic descriptor system states and actuator faults. Suf...
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| Veröffentlicht in: | Asian journal of control 2019-01, Vol.21 (1), p.89-98 |
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| container_title | Asian journal of control |
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| creator | Hamdi, Habib Rodrigues, Mickael Mechmeche, Chokri Benhadj Braiek, Naceur |
| description | This paper considers the problem of fault detection and reconstruction of actuator faults for linear parameter varying descriptor systems. A polytopic sliding mode observer (PSMO) is constructed to achieve simultaneous reconstruction of LPV polytopic descriptor system states and actuator faults. Sufficient conditions for the existence and design algorithm of the proposed polytopic sliding mode observer are provided. In addition, the design of the PSMO is formulated in terms of linear matrix inequalities that can be suitably solved using convex optimization techniques. This PSMO can force the output estimation error to converge to zero in a finite time when the actuators faults are bounded through the reinjection of the output estimation error via a nonlinear switching term. The effectiveness of the design technique is illustrated through a simulation of an anaerobic bioreactor. |
| doi_str_mv | 10.1002/asjc.2022 |
| format | Article |
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A polytopic sliding mode observer (PSMO) is constructed to achieve simultaneous reconstruction of LPV polytopic descriptor system states and actuator faults. Sufficient conditions for the existence and design algorithm of the proposed polytopic sliding mode observer are provided. In addition, the design of the PSMO is formulated in terms of linear matrix inequalities that can be suitably solved using convex optimization techniques. This PSMO can force the output estimation error to converge to zero in a finite time when the actuators faults are bounded through the reinjection of the output estimation error via a nonlinear switching term. 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A polytopic sliding mode observer (PSMO) is constructed to achieve simultaneous reconstruction of LPV polytopic descriptor system states and actuator faults. Sufficient conditions for the existence and design algorithm of the proposed polytopic sliding mode observer are provided. In addition, the design of the PSMO is formulated in terms of linear matrix inequalities that can be suitably solved using convex optimization techniques. This PSMO can force the output estimation error to converge to zero in a finite time when the actuators faults are bounded through the reinjection of the output estimation error via a nonlinear switching term. 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| ispartof | Asian journal of control, 2019-01, Vol.21 (1), p.89-98 |
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| language | eng |
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| source | Wiley Online Library All Journals |
| subjects | Actuators Algorithms Automatic Automatic Control Engineering Bioreactors Computational geometry Computer Science Computer simulation Convexity Engineering Sciences Fault detection Fault diagnosis Linear matrix inequalities LPV descriptor systems Mathematical analysis Mathematical models Matrix methods Optimization Optimization techniques Reconstruction Reinjection Sliding mode control sliding mode observer |
| title | Fault diagnosis based on sliding mode observer for LPV descriptor systems |
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