This paper presents a unified approach to detection and isolation of both actuator faults and unexpected collisions for a two-link robot with a flexible forearm. The proposed approach is sensorless, i.e., no dedicated exteroceptive sensors are considered, and is based on the design of residuals to be used as monitoring filters. The method has been tested by extensive simulations on the Flexarm robot used as case study. The reported results show the efficacy in detecting and isolating faults in the actuators or collisions on the robot links.

Detection and isolation of actuator faults and collisions for a flexible robot arm / Gaz, Claudio; Cristofaro, Andrea; De Luca, Alessandro. - (2020), pp. 2684-2689. (Intervento presentato al convegno 59th IEEE Conference on Decision and Control tenutosi a Jeju Island; Republic of Korea) [10.1109/CDC42340.2020.9304299].

Detection and isolation of actuator faults and collisions for a flexible robot arm

Gaz, Claudio
;
Cristofaro, Andrea;De Luca, Alessandro
2020

Abstract

This paper presents a unified approach to detection and isolation of both actuator faults and unexpected collisions for a two-link robot with a flexible forearm. The proposed approach is sensorless, i.e., no dedicated exteroceptive sensors are considered, and is based on the design of residuals to be used as monitoring filters. The method has been tested by extensive simulations on the Flexarm robot used as case study. The reported results show the efficacy in detecting and isolating faults in the actuators or collisions on the robot links.
2020
59th IEEE Conference on Decision and Control
actuator fault detection; collision detection; falut detection and isolation; residual
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Detection and isolation of actuator faults and collisions for a flexible robot arm / Gaz, Claudio; Cristofaro, Andrea; De Luca, Alessandro. - (2020), pp. 2684-2689. (Intervento presentato al convegno 59th IEEE Conference on Decision and Control tenutosi a Jeju Island; Republic of Korea) [10.1109/CDC42340.2020.9304299].
File allegati a questo prodotto
File Dimensione Formato  
Gaz_Detection_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 992.64 kB
Formato Adobe PDF
992.64 kB Adobe PDF   Contatta l'autore

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/11573/1482136
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact