This paper presents a sensor fusion approach, using an Extended Kalman filter, in order to estimate the friction coefficient inside an electromechanical system. This method has the main advantage of merging the information arising from acceleration and motor current into a single variable. This new signal permits to improve the performance of a fault detection algorithm. An application showing the advantages of the proposed approach is shown; the electromechanical system chosen for the tests is an automatic access gate.
(2015). A friction estimation approach to fault detection in electromechanical systems [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/55955
A friction estimation approach to fault detection in electromechanical systems
Angeloni, Fabio;Ermidoro, Michele;Previdi, Fabio;
2015-01-01
Abstract
This paper presents a sensor fusion approach, using an Extended Kalman filter, in order to estimate the friction coefficient inside an electromechanical system. This method has the main advantage of merging the information arising from acceleration and motor current into a single variable. This new signal permits to improve the performance of a fault detection algorithm. An application showing the advantages of the proposed approach is shown; the electromechanical system chosen for the tests is an automatic access gate.| File | Dimensione del file | Formato | |
|---|---|---|---|
|
2015 IFAC SAFEPROCESS Friction estimation.pdf
Solo gestori di archivio
Versione:
publisher's version - versione editoriale
Licenza:
Licenza default Aisberg
Dimensione del file
797.65 kB
Formato
Adobe PDF
|
797.65 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo
