Detection of icing and actuators faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer
Conference on Control and Fault Tolerant Systems (SYSTOL)
Johansen, Tor Arne
Nejjari Akhi-Elarab, Fatiha
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.
D. Rotondo, A. Cristofaro, T.A. Johansen, F. Nejjari and V. Puig. Detection of icing and actuators faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 690-697, IEEE.