Detection and Estimation of Helicopters Vibrations by Adaptive Notch Filters

Autor: Marc Salesse, Nacer K. M'Sirdi, Antoine Monneau, Jean Sequeira, Sébastien Mavromatis, Guillaume Varra
Přispěvatelé: Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Airbus Helicopters, Aeroport International de Marseille-Provence
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: 17th International Conference on Informatics in Control, Automation and Robotics
17th International Conference on Informatics in Control, Automation and Robotics, Jul 2020, Online Streaming, France. ⟨10.5220/0009910302010207⟩
ICINCO
DOI: 10.5220/0009910302010207⟩
Popis: International audience; This paper addresses online vibration detection in helicopters using Adaptive Filters. Adaptive Notch Filters (ANF) are used to estimate and track the time varying frequencies of the vibrations. We estimate and track the amplitudes and phases of time varying frequencies of the vibrations. This allows the detection of abnormal oscillations in the helicopter flight to keep control of the aircraft. In the application presented, we show the detection of severe vibrations that occurred during a helicopter flight test. This proves the effectiveness of proposed ANF to track and reject narrow band perturbations.
Databáze: OpenAIRE