A Hybrid Fault Detection and Isolation Strategy of Nonlinear Systems in Presence of Large Environmental Disturbances


  1. Meskin, N.
  2. Khorasani, K.
  3. Rabbath, C.A.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);Concordia Univ, Montreal QUE (CAN) Dept of Electrical and Computer Engineering
In this paper, the problem of designing and developing a hybrid Fault Detection and Isolation (FDl) scheme for a nonlinear system that is subject to large environmental disturbances is investigated. In the proposed FDI algorithm, 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 diagnose, 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 existence of a set of residuals that are used by the DES fault diagnoser is derived based on the nonlinear geometric FDI approach. Our proposed hybrid FDI algorithm is then applied to actuator fault detection and isolation of an Almost-Lighter-Than-Air-Vehicle (ALTAV). Simulation results presented demonstrate and validate the performance capabilities of our proposed hybrid FDI algorithm.
Report Number
DRDC-VALCARTIER-SL-2010-034 — Scientific Literature
Date of publication
01 Jan 2010
Number of Pages
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