Using the Unfalsified Control Concept to achieve Fault Tolerance

Abstract The paper investigates the use of the unfalsified control concept in the area of fault tolerant control. No fault diagnosis system is required but rather by a simultaneous on-line performance assessment of multiple controllers in a bank of controllers, the best one for the plant at each time can be selected. A controller does not need to form part of the feedback loop for its performance to be assessed. Strategies to construct the bank of controllers are discussed and a switching strategy for fault tolerant control is presented. No previous models of system or faults are necessary, only real-time input/output data streams. Finally the investigated methodology is put to the test by applying it to a non-linear model of the breathing system of a PEM fuel cell.

[1]  A. Paul,et al.  Cost-detectability and Stability of Adaptive Control Systems , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[2]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2004, IEEE Transactions on Automatic Control.

[3]  Maarten Steinbuch,et al.  Data-driven multivariable controller design using Ellipsoidal Unfalsified Control , 2007, 2007 American Control Conference.

[4]  Edoardo Mosca,et al.  Switching supervisory control based on controller falsification and closed-loop performance inference , 2002 .

[5]  M. Kinnaert,et al.  A fault accommodation strategy based on closed-loop performance monitoring , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[6]  P. Gahinet,et al.  A convex characterization of gain-scheduled H∞ controllers , 1995, IEEE Trans. Autom. Control..

[7]  Michael G. Safonov,et al.  Automatic PID tuning: an application of unfalsified control , 1999, Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404).

[8]  Edoardo Mosca,et al.  Stability of unfalsified adaptive control with non-SCLI controllers and related performance under different prior knowledge , 2007, 2007 European Control Conference (ECC).

[9]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[10]  Antonio M. Pascoal,et al.  Issues, progress and new results in robust adaptive control , 2006 .

[11]  A.G. Stefanopoulou,et al.  Control of fuel cell breathing , 2004, IEEE Control Systems.

[12]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems , 2004 .

[13]  A. Packard,et al.  Robust performance of linear parametrically varying systems using parametrically-dependent linear feedback , 1994 .

[14]  M Maarten Steinbuch,et al.  Data-driven multivariable controller design using Ellipsoidal Unfalsified Control , 2007, ACC.

[15]  Youmin Zhang,et al.  Issues On Integration of Fault Diagnosis and Reconfigurable Control in Active Fault-Tolerant Control Systems , 2007 .

[16]  Fen Wu,et al.  Switching LPV control designs using multiple parameter-dependent Lyapunov functions , 2004, Autom..

[17]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design , 2004 .

[18]  Michael G. Safonov,et al.  The unfalsified control concept and learning , 1997 .