Application of a New Fault Detection Approach to Aerocraft's Closed-Loop Control System

The main contributions of this paper is the successful application in the aerocraft's closed-loop control system. As we know, the fault detection approaches proposed before mainly aim at the open-loop system. Meanwhile, a new LMI (linear matrix inequality)-based filter design methodology for fault detection in LTI plants is presented. For fault detection, H ∞ and H- index are used to measure the residual's robustness against disturbances and sensitivity to faults respectively. In this paper, the H- index is transformed to H ∞ norm by using the residual error instead of residual. Eventually, the design scheme is applied in an aerocraft's longitudinal closed-loop system and the advantages of this approach are highlighted.

[1]  G.C. Verghese,et al.  A robust failure detection and isolation algorithm , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[2]  William R. Perkins,et al.  H∞ Parameter Identification for Inflight Detection of Aircraft Icing: The Time-Varying Case☆ , 2000 .

[3]  P. Frank,et al.  Survey of robust residual generation and evaluation methods in observer-based fault detection systems , 1997 .

[4]  Jian Liu,et al.  An LMI approach to H_ index and mixed H_/Hinfinit fault detection observer design , 2007, Autom..

[5]  Fen Wu,et al.  Anti-windup control design for exponentially unstable LTI systems with actuator saturation , 2004, Syst. Control. Lett..

[6]  Jian Liu,et al.  An LMI approach to h_ index and mixed h_ /h∞ fault detection observer design , 2007 .

[7]  Michèle Basseville,et al.  On-board Component Fault Detection and Isolation Using the Statistical Local Approach , 1998, Autom..

[8]  K. Grigoriadis,et al.  LMI-based filter design for fault detection and isolation , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[9]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[10]  Young-Man Kim,et al.  A New Approach for Robust and Reduced Order Fault Detection Filter Design , 2007, 2007 American Control Conference.

[11]  J. Lam,et al.  Robust Fault Detection Observer Design: Iterative LMI Approaches , 2007 .

[12]  Gang George Yin,et al.  Near-optimal controls of random-switching LQ problems with indefinite control weight costs , 2005, Autom..

[13]  Hao Ye,et al.  Observer-Based Fast Rate Fault Detection for a Class of Multirate Sampled-Data Systems , 2007, IEEE Transactions on Automatic Control.

[14]  James Lam,et al.  An LMI approach to design robust fault detection filter for uncertain LTI systems , 2003, Autom..

[15]  Guo-Ping Liu,et al.  Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms , 1996, Int. J. Syst. Sci..

[16]  Jian Liu,et al.  An LMI approach to minimum sensitivity analysis with application to fault detection , 2005, Autom..

[17]  P. Frank.  Enhancement of robustness in observer-based fault detection† , 1994 .

[18]  P. Felicio,et al.  Applying parametric fault detection to a mechanical system , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[19]  S. Ding,et al.  An LMI approach to the design of fault detection filter for time-delay LTI systems with unknown inputs , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[20]  David Henry,et al.  Design of fault diagnosis filters: A multi-objective approach , 2005, J. Frankl. Inst..

[21]  László Keviczky,et al.  Robust detection filter design in the presence of time-varying system perturbations , 1997, Autom..

[22]  Jie Chen,et al.  Standard H∞ Filtering Formulation of Robust Fault Detection , 2000 .