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Data-driven fault diagnosis and robust control: Application to PEM fuel cell systems

Author
Ocampo-Martinez, C.A.; Sánchez, R.S.; Bianchi, F.; Ingimundarson, A.
Type of activity
Journal article
Journal
International journal of robust and nonlinear control
Date of publication
2018-08-01
Volume
28
Number
12
First page
3713
Last page
3727
DOI
https://doi.org/10.1002/rnc.3820 Open in new window
Project funding
Operación Eficiente de Infraestructuras Críticas (ECOCIS)
Repository
http://hdl.handle.net/2117/120596 Open in new window
URL
http://onlinelibrary.wiley.com/doi/10.1002/rnc.3820/abstract;jsessionid=63AA660B408DAE1CE45AA052FA9D883A.f02t04 Open in new window
Abstract
A data-driven methodology that includes the unfalsified control concept in the framework of fault diagnosis and isolation (FDI) and fault-tolerant control (FTC) is presented. The selection of the appropriate controller from a bank of controllers in a switching supervisory control setting is performed by using an adequate FDI outcome. By combining simultaneous online performance assessment of multiple controllers with the fault diagnosis decision from structured hypothesis tests, a diagnosis stat...
Citation
Ocampo-Martinez, C.A., Sánchez, R.S., Bianchi, F., Ingimundarson, A. Data-driven fault diagnosis and robust control: Application to PEM fuel cell systems. "International journal of robust and nonlinear control", 1 Agost 2018, vol. 28, núm. 12, p. 3713-3727.
Keywords
adaptive control, automation, control theory, fault diagnosis; fault-tolerant control; unfalsified control; fuel cells, two-term control
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

  • Ocampo Martinez, Carlos A.  (author)
  • Sánchez Peña, Ricardo Salvador  (author)
  • Bianchi, Fernando Daniel  (author)
  • Ingimundarson, Ari  (author)