Development of Reservous Electromechanical Drive Actuator Based On A Differential Mechanism For Aircraft

Abdulin, R.R.; Podshibnev, V.A.; Rozhnin, N.B.; Samsonovich, S. L.

doi:10.1109/icoecs52783.2021.9657371

Cited by 2 publications

(1 citation statement)

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“…Fault‐tolerant control is a control strategy that can automatically make the system adapt its faults while the stability of the system is maintained [127]. Fault‐tolerant control for airborne EMA should be able to ensure that the actuation system could survive from at least two electrical and one mechanical failures [128]. The existing EMA control strategies are usually based on optimised performance and robustness, and do not consider the RUL of EMA.…”

Section: Ema Dphm Methodsmentioning

confidence: 99%

A review of fault diagnosis, prognosis and health management for aircraft electromechanical actuators

Yin

Chen

et al. 2022

IET Electric Power Appl

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As More/All Electric Aircraft gradually become a research hotspot, electromechanical actuators (EMAs), which can directly convert electrical energy into mechanical energy, have gained more and more attention. However, since the reliability of EMA cannot meet the requirements of actual aircrafts, the practical application of EMA is severely limited. Therefore, fault diagnosis, prognosis and health management (DPHM), which can realise condition‐based maintenance (CBM), has become the key technology in the application of EMA. The aim is to summarise the research on EMA fault modes, fault diagnosis, prognosis and health management systematically and comprehensively. First, the basic structure and common fault modes of EMAs are introduced, and the failure mechanism of EMA is studied. Then, the algorithms of DPHM for EMAs are reviewed in detail. The perception strategies of data acquisition are analysed, and the EMA fault diagnosis methods, including model‐based and data‐driven methods, are reviewed. The research of remaining useful life (RUL) prediction and fault‐tolerant control are introduced. After that, some problems of the existing research on EMA DPHM and their potential solutions are put forward. Finally, several possible developing directions of research on EMA DPHM are predicted.

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Section: Ema Dphm Methodsmentioning

confidence: 99%