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Robust fault and icing diagnosis in unmanned aerial vehicles using LPV interval observers

Rotondo, Damiano ; Cristofaro, Andrea ; Johansen, Tor Arne ; Nejjari, Fatiha ; Puig, Vicenç

International journal of robust and nonlinear control, 2019-11, Vol.29 (16), p.5456-5480 [Periódico revisado por pares]

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Título:
Robust fault and icing diagnosis in unmanned aerial vehicles using LPV interval observers
Autor: Rotondo, Damiano ; Cristofaro, Andrea ; Johansen, Tor Arne ; Nejjari, Fatiha ; Puig, Vicenç
Assuntos: Actuators ; Automation ; Automàtica i control ; Classificació INSPEC ; Computer simulation ; False alarms ; Fault diagnosis ; Ice accumulation ; Ice formation ; Icing Diagnosis ; Informàtica ; Interval Observers ; Linear matrix inequalities ; Linear Parameter Varying (LPV) Systems ; Matrix methods ; Observers ; System dynamics ; unknown input observers (UIOs) ; Unmanned aerial vehicles ; unmanned aerial vehicles (UAVs) ; Àrees temàtiques de la UPC
É parte de: International journal of robust and nonlinear control, 2019-11, Vol.29 (16), p.5456-5480
Notas: NFR/223254
Descrição: Summary This paper proposes a linear parameter varying (LPV) interval unknown input observer for the robust fault diagnosis of actuator faults and ice accretion in unmanned aerial vehicles (UAVs) described by an uncertain model. The proposed interval observer evaluates the set of values for the state, which are compatible with the nominal fault‐free and icing‐free operation and can be designed in such a way that some information about the nature of the unknown inputs affecting the system can be obtained, thus allowing the diagnosis to be performed. The proposed strategy has several advantages. First, the LPV paradigm allows taking into account operating point variations. Second, the noise rejection properties are enhanced by the presence of the integral term. Third, the interval estimation property guarantees the absence of false alarms. Linear matrix inequality–based conditions for the analysis/design of these observers are provided in order to guarantee the interval estimation of the state and the boundedness of the estimation. The developed theory is supported by simulation results, obtained with the uncertain model of a Zagi Flying Wing UAV, which illustrate the strong appeal of the methodology for identifying correctly unexpected changes in the system dynamics due to actuator faults or icing.
Editor: Bognor Regis: Wiley Subscription Services, Inc
Idioma: Inglês;Norueguês

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Robust fault and icing diagnosis in unmanned aerial vehicles using LPV interval observers

Rotondo, Damiano ; Cristofaro, Andrea ; Johansen, Tor Arne ; Nejjari, Fatiha ; Puig, Vicenç

Bognor Regis: Wiley Subscription Services, Inc

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