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

CARLOS OCAMPO-MARTÍNEZ; RICARDO S. SÁNCHEZ PEÑA; FERNANDO BIANCHI; ARI INGIMUNDARSON

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

JOHN WILEY & SONS LTD

Lugar: Londres; Año: 2018 vol. 28 p. 3713 - 3727

1049-8923

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 statement regarding what controller is most suitable to deal with the current (nominal or faulty) mode of the plant is obtained. Switching strategiesthat use the diagnosis statement are also proposed. This approach is applied to a nonlinear experimentally validated model of the breathing system of a polymer electrolyte membrane fuel cell. The results show the effectiveness of this FDI?fault-tolerant control data-driven methodology.