Detection of icing and actuator faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer
Document typeConference report
Rights accessOpen Access
This paper proposes a linear parameter varying proportional integral unknown input observer (PI-UIO) for the diagnosis of actuator faults and icing in unmanned aerial vehicles. It is shown that in presence of sensor noise, the proposed PI-UIO has the advantage of being affected by the noise, but not by its derivative. Another contribution of the paper is the introduction of an icing to wind/noise ratio, which allows performing an optimal tuning of some PI-UIO design parameters. Results obtained with a Zagi Flying Wing simulator are used to validate the effectiveness of the proposed approach.
CitationRotondo, D., Cristofaro, A., Johansen , T. A., Nejjari, F., Puig, V. Detection of icing and actuator faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer. A: International Conference on Control and Fault-Tolerant Systems. "Control and Fault-Tolerant Systems (SysTol), 2016 3rd Conference on". Barcelona: 2016, p. 690-697.
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