Modeling faults of quadcopter aerial vehicle using petri nets
Fecha
2019-06-30
Autores
Abreu López, Ailet
Izaguirre Castellanos, Eduardo
Abreu García, José Rafael
Bravo Cortes, Julio César
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Resumen
The development of models focused on the detection and diagnosis of failures in autonomous
aerial vehicles, constitutes a novel subject, where for this application context the complexity of
the algorithms and sensorial systems on board of these vehicles constitutes a challenge. In this
field Petri Networks are used as a tool for fault detection given the facilities they provide for the
modeling of complex systems in terms of their graphic representation and offering a simple
solution. In this investigation a fault model is developed that allows the detection of faults based
on Petri Nets applied to an air vehicle type Quadcopter, this model allows to determine the
possible existence of off-line faults for this type of aerial vehicle, through the analysis of
the data coming from the flight controller and measurements of the sensors on board. It is shown that the model satisfies the properties established for the verification of models with Petri Nets using two
of the methods; reachability tree and state equation
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Palabras clave
Modeling, Petri Nets, Aerial Vehicles, Fault Detection
Citación
Citar según la fuente original:
López, A. A., Cortés, J. C. B., García, J. R. A., & Castellanos, E. I. (2019). Modeling faults of quadcopter aerial vehicle using petri nets. Journal of Engineering and Technology for Industrial Applications, 05(18), 81-85