Sensor Fault Detection for the Roll Dynamic Model of a Generic Delta-Wing Aircraft

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of the 2016 Australian Control Conference (AUCC), 2016, pp. 317 - 322 (6)
Issue Date:
2016-01-01
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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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