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Interval LPV identification and fault diagnosis of a real wind turbine

Autor
Negre, P.; Puig, V.; Pineda, I.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
SYSID 2012. IFAC 16th Symposium on System Identification
Any de l'edició
2012
Data de presentació
2012-07-13
Llibre d'actes
IFAC. 16th Symposium on System Identification
Pàgina inicial
1689
Pàgina final
1694
Repositori
http://hdl.handle.net/2117/16442 Obrir en finestra nova
Resum
The purpose of this paper is to present the application of interval Linear Parameter Varying (LPV) identification and fault diagnosis approaches to a real wind turbine. Since wind turbines are highly non-linear systems when operating in their whole range of operation, a LPV model is used. Real field data and system identification techniques are used to identify the nominal model as well as its uncertainty. Fault detection is based on interval LPV observers that are used to generate an adaptive t...
Citació
Negre, P.; Puig, V.; Pineda, I. Interval LPV identification and fault diagnosis of a real wind turbine. A: IFAC Symposium on System Identification. "IFAC. 16th Symposium on System Identification". Brusel.les: 2012, p. 1689-1694.
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants

  • Negre, Pep Lluís  (autor ponent)
  • Puig Cayuela, Vicenç  (autor ponent)
  • Pineda, Isaac  (autor ponent)