Journal
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 25, Issue 5, Pages 1873-1881Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2016.2624142
Keywords
Compensation; fault detection and diagnosis (FDD); orthogonality principle; uncertainties
Funding
- Natural Sciences and Engineering Research Council of Canada
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In this brief, a fault-detection and diagnosis method is proposed for the stochastic hybrid system with the consideration of model parameter uncertainty. To negate the effect of model uncertainty, a compensation step is introduced, which uses a compensation parameter to adjust the degree of dependence of the filtering on the model or the measurements. To determine the compensator parameter governing the degree of dependence, an orthogonality principle between the estimation error and the residual is applied. Numerical simulations with a second-order tracking system and a pilot-scale experiment study on a quadruple water tank system are conducted to demonstrate the effectiveness of the proposed approach.
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