Research Center for Supervision, Safety and Automatic Control

CADASUTRA

CICYT ref. TAP96-1114-C03-01.

Objectives

The objective of this project was to develop methodologies to qualitatively simulate and predict the behavior of a complex industrial process, enable robust real-time detection of abnormal operations, and characterize the performance of local controllers for processes with variable dynamics based on boundary conditions.


These methodologies resulted in a set of software modules that allow for predictive diagnostics of faults in industrial processes, as well as the reconfiguration of local controllers that regulate various process variables. The different software modules were integrated into a general supervisory architecture, which was experimentally verified.


This project was carried out in coordination with the universities of Girona, the Balearic Islands, and the Polytechnic University of Catalonia.

Related Publications

  • V. Puig, J. Quevedo, "Passive Robust Fault Detection using Fuzzy Parity Equations", Mathematics and Computers in Simulation, 60(3-5), pp. 193-207, <doi:10.1016/S0378-4754(02)00014-9>, 2002.
  • L. Travé-Massuyès, T. Escobet, R. Pons, S. Tornil, "The CA~EN diagnosis system and its automatic modelling method", Computación y Sistemas, e-Journal, 5 (2), pp. 128-143, 2001.
  • V. Puig, J. Quevedo, "Fault-tolerant PID controllers using a passive robust fault diagnosis approach", Control Engineering Practice, 9 (11), pp. 1221-1234, <doi:10.1016/S0967-0661(01)00068-5>, 2001
  • A. Guasch, J. Quevedo, R. Milne, "Fault diagnosis for gas turbines based on the control system", Engineering Applications of Artificial Intelligence, 13(4) pp. 477-484, <doi:10.1016/S0952-1976(00)00014-2>, 2000.