The problem of identifying faults in the sensors of technical systems described by linear differential systems is considered. The identification is performed with external disturbances of unknown nature acting on the dynamics of the system. Sliding mode observers are used to solve the problem. An approach based on the construction of a reduced model of the initial system with lesser dimension than that of the system and possessing selective sensitivity to a fault or a disturbance is proposed. A model is obtained that is not sensitive to a disturbance and is sensitive to particular faults. It is proved that through the use of the model existing identification tools may be simplified and the constraints imposed on the initial system weakened. It is suggested that the reduced model should be constructed on the basis of a canonical identification form, making it possible to obtain a simple synthesis procedure that takes into account additional constraints related to features of the implementation of the sliding mode. New methods for the construction of sliding mode observers that generate an estimate of a fault are proposed on the basis of the new model. The new methods differ from one another by the nature of the constraints imposed on the initial system. Proofs of the existence of sliding modes under definite conditions are presented. In an example of practical importance, it is proved that the proposed methods complement each other. The range of application of the proposed methods are complex technical systems that perform critical functions and must be capable of continuing to function when there are faults present.
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Translated from Izmeritel’naya Tekhnika, No. 10, pp. 21–28, October, 2019.
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Zhirabok, A.N., Zuev, A.V. & Shumskii, A.E. Identification of Faults in the Sensors of Technical Systems with the use of Sliding Mode Observers. Meas Tech 62, 869–878 (2020). https://doi.org/10.1007/s11018-020-01707-1
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DOI: https://doi.org/10.1007/s11018-020-01707-1