Sensor fault detection for the roll dynamic model of a generic delta-wing aircraft

Publication Type:
Conference Proceeding
Citation:
2016 Australian Control Conference, AuCC 2016, 2017, pp. 317 - 322
Issue Date:
2017-03-01
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© 2016 Engineers Australia. This paper proposes a fault detection algorithm for the roll dynamic model of a generic delta-wing aircraft. It is assumed that the system model has some noise/uncertainties and the measured roll angle and roll rate used by the control law are faulty/under attack. The proposed fault detection algorithm employs a fault detection estimator and adaptive thresholds to detect the occurrence of a fault in the sensor measurements. Simulation results are presented to show the performance of the proposed algorithm.
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