Informatics, TU Vienna

Design of Active Inputs for Fault Diagnosis

High-performance systems such as chemical plants and aerospace systems are becoming increasingly complex.

Abstract

High-performance systems such as chemical plants and aerospace systems are becoming increasingly complex. Together with increasingly stringent performance requirements, this has made manual, human-supported detection of component malfunctions challenging, even for highly experienced operators. Although there are many fault diagnosis algorithms available, there has been very little work on the design of control inputs with the aim of increasing the detectability and isolability of faults. The use of such inputs has clear potential for overcoming a central difficulty in fault detection, which is to distinguish the effects of faults from those of disturbances, process uncertainties, etc. This presentation discusses new methods for computing active inputs that guarantee that the input-output data of a process will be sufficient to correctly identify a fault from a given library of possible faults. To address this problem, a new formulation is considered, along with related approximations, that is amenable to efficient solution using standard optimization packages (e.g. CPLEX).

The theoretical contributions combine ideas from reachability analysis, set-based computations, and optimization theory to exploit detailed problem structure and thereby manage the problem complexity. Comparisons with an existing method show that the proposed formulation provides a dramatic reduction in the required computational effort. The method is demonstrated for a permanent-magnet DC motor.

Biography

Davide M. Raimondo was born in Pavia, Italy, in 1981. He received the B.Sc. and M.Sc. in Computer Engineering, and the Ph.D. in Electronic, Computer Science and Electric Engineering from the University of Pavia, Italy, in 2003, 2005, and 2009, respectively. As a Ph.D. student he held a visiting position at the Department of Automation and Systems Engineering, University of Seville, Spain. From January 2009 to December 2010 he was a postdoctoral fellow in the Automatic Control Laboratory, ETH Zürich, Switzerland. From March 2012 to June 2012 and from August 2013 to September 2013 he was visiting scholar in Prof. Braatz Group, Department of Chemical Engineering, MIT, USA. Since December 2010 he is Assistant Professor at University of Pavia, Italy. His current research interests include optimization-based control, fault-tolerant control, distributed control, autonomous surveillance and control of glycaemia in diabetic patients.
 

Note

This talk is organized by the Cyber-Physical Systems Group at the Institute of Computer Engineering.