Electromechanical actuators (EMAs) based on Permanent Magnet Synchronous Motors (PMSMs) are currently employed on various aircraft systems, and are becoming more and more widespread in safety critical applications. Compared to other electrical machines, PMSM offer a high power to weight ratio and low cogging: this makes them suited for position control and actuation tasks. EMAs offer several advantages over hydraulic servoactuators, in terms of modularity, mechanical simplicity, overall weight and fuel efficiency. At the same time, their basic reliability is inherently lower compared to hydraulic actuators. Then, the use of EMAs for safety critical aircraft systems requires the adoption of risk mitigation techniques to counter this issue. In this framework, diagnostic and prognostic strategies can be used for the system health management, to monitor its behaviour in search of the early signs of the most common or dangerous failure modes. We propose a low fidelity model of a PMSM based EMA, intended for model-based diagnostic and prognostic monitoring. The model features low computational cost, allowing the execution in nearly real-time, combined with suitable accuracy in the simulation of faulty system operations. This simplified emulator is validated by comparing its behaviour to a higher fidelity model, employed as a simulated test bench.

A simplified monitoring model for PMSM servoactuator prognostics / Berri, Pier Carlo; Dalla Vedova, Matteo D. L.; Maggiore, Paolo; Viglione, Francesco. - In: MATEC WEB OF CONFERENCES. - ISSN 2261-236X. - ELETTRONICO. - 304:(2019), p. 04013. (Intervento presentato al convegno 9th EASN International Conference on “Innovation in Aviation & Space” tenutosi a Athens nel 03-06/09/2019) [10.1051/matecconf/201930404013].

A simplified monitoring model for PMSM servoactuator prognostics

Berri, Pier Carlo;Dalla Vedova, Matteo D. L.;Maggiore, Paolo;VIGLIONE, FRANCESCO
2019

Abstract

Electromechanical actuators (EMAs) based on Permanent Magnet Synchronous Motors (PMSMs) are currently employed on various aircraft systems, and are becoming more and more widespread in safety critical applications. Compared to other electrical machines, PMSM offer a high power to weight ratio and low cogging: this makes them suited for position control and actuation tasks. EMAs offer several advantages over hydraulic servoactuators, in terms of modularity, mechanical simplicity, overall weight and fuel efficiency. At the same time, their basic reliability is inherently lower compared to hydraulic actuators. Then, the use of EMAs for safety critical aircraft systems requires the adoption of risk mitigation techniques to counter this issue. In this framework, diagnostic and prognostic strategies can be used for the system health management, to monitor its behaviour in search of the early signs of the most common or dangerous failure modes. We propose a low fidelity model of a PMSM based EMA, intended for model-based diagnostic and prognostic monitoring. The model features low computational cost, allowing the execution in nearly real-time, combined with suitable accuracy in the simulation of faulty system operations. This simplified emulator is validated by comparing its behaviour to a higher fidelity model, employed as a simulated test bench.
2019
File in questo prodotto:
File Dimensione Formato  
matecconf_easn2019_04013.pdf

accesso aperto

Descrizione: Paper - Final Version
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 691.24 kB
Formato Adobe PDF
691.24 kB Adobe PDF Visualizza/Apri
EASN_2019 PMSM PostPrint_Draft.pdf

accesso aperto

Descrizione: Post-print draft
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Creative commons
Dimensione 711.33 kB
Formato Adobe PDF
711.33 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2783774