Conference Paper
Simultaneous sensor and actuator fault reconstruction and diagnosis using generalized sliding mode observers
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Conference: American Control Conference (ACC), 2010 Source: IEEE Xplore

Conference Paper: Estimation and reconstruction of multiple system, actuator and sensor faults in timedelayed linear systems
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ABSTRACT: Detection, isolation, and reconstruction of multiple system, actuator, and sensor faults in timedelayed linear systems are considered in this note. Based on an appropriate change of system coordinates; all system, actuator, and sensor faults are assigned to different subsystems of a timedelayed linear system. Then, using sliding mode observers and equivalent output error injection approaches, all faults are reconstructed separately. This results in reduced computational complexity. Finally, numerical simulation is used to show the feasibility and effectiveness of the proposed approach.Control and Automation (ICCA), 2011 9th IEEE International Conference on; 01/2011 
Conference Paper: Robust and simultaneous reconstruction of actuator and sensor faults via sliding mode observer
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ABSTRACT: This paper proposes a method for robust and simultaneous actuator and sensor faults reconstruction of linear uncertain system based on sliding mode observer (SMO). In comparison with existing work, the observer contains two discontinuous terms to solve the problem of simultaneous faults. The idea is to introduce an appropriate filter on the systems output to transform the sensor faults in the fictitious actuator faults and hence the proposed SMO can be applied.Electrical Engineering and Software Applications (ICEESA), Hammamet; 03/2013 
Article: Sensor fault detection and isolation for a class of nonlinear systems using sliding mode observer
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ABSTRACT: The present paper proposes a new scheme based on sliding mode observers (SMOs) for sensor fault detection and isolation for a class of uncertain nonlinear systems. By using the integral observer approach, sensor faults are treated as actuator faults. A state and output transformation is introduced to transform the original system into two subsystems. One subsystem is subject to system uncertainties but free from sensor faults. A sliding mode observer is designed for this system so that the effect of uncertainties can be eliminated. The second subsystem is only subject to sensor faults but system uncertainties. A Luenberger observer is designed for this system for the purpose of fault detection. The sensor faults can be further isolated by applying a bank of SMOs to the second subsystem. The sufficient condition of stability of the proposed SMOs has been derived and expressed as Linear Matrix Inequalities (LMIs). The design parameters of the proposed SMOs are determined by using LMI techniques. The effectiveness of the proposed SMOs in detecting and isolating sensor faults has been illustrated considering a numeral example. The result has been found to be satisfactory even for incipient sensor faults which are hard to be detected due to the nature of small in size and growing slowly during the initial phase.01/2011;
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