Hybrid fault detection and isolation strategy for non-linear systems in the presence of large environmental disturbances

The problem of designing and developing a hybrid fault detection and isolation (FDI) scheme for a non-linear system that is subject to large environmental disturbances is investigated. In the proposed FDI scheme, a hybrid architecture is introduced, which is composed of a bank of residual generators and a discrete-event system (DES) fault diagnoser. A novel set of residuals is generated so that a DES fault diagnoser will robustly detect and isolate actuator faults in the system by incorporating an appropriate combination of residuals and their sequential features. Necessary and sufficient conditions for the existence of a set of residuals that are used by the DES fault diagnoser are derived based on the non-linear geometric FDI approach. The proposed hybrid FDI scheme is then applied to actuator fault detection and isolation of an almost-lighter-than-air-vehicle. Simulation results presented demonstrate and validate the performance capabilities of the proposed hybrid FDI scheme.

[1]  M. Staroswiecki,et al.  Fault estimation in nonlinear uncertain systems using robust/sliding-mode observers , 2004 .

[2]  Paul M. Frank,et al.  Fault-diagnosis by disturbance decoupled nonlinear observers , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[3]  A. Willsky,et al.  Failure detection and identification , 1989 .

[4]  V. Cocquempot,et al.  Nonlinear Model Decomposition for Fault Detection and Isolation System Design , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

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

[6]  Tianyou Chai,et al.  Entropy Optimization Filtering for Fault Isolation of Nonlinear Non-Gaussian Stochastic Systems , 2009, IEEE Transactions on Automatic Control.

[7]  Alberto Isidori,et al.  On the design of fault detection filters with game‐theoretic‐optimal sensitivity , 2002 .

[8]  Marcel Staroswiecki,et al.  Analytical redundancy relations for fault detection and isolation in algebraic dynamic systems , 2001, Autom..

[9]  Hong Wang,et al.  Fault detection for non-linear non-Gaussian stochastic systems using entropy optimization principle , 2006 .

[10]  Alberto Isidori,et al.  A geometric approach to nonlinear fault detection and isolation , 2000, IEEE Trans. Autom. Control..

[11]  Shahin Hashtrudi-Zad,et al.  Fault diagnosis in discrete-event systems: framework and model reduction , 2003, IEEE Trans. Autom. Control..