Abstract
SummaryThis paper investigates a relevant observer based on fault estimation of nonlinear systems described by a class of differential‐algebraic equation models using the extended Kalman filter. The method involves the use of a transformation from a differential‐algebraic equation to ordinary differential equation. Two nonlinear observers are used for fault estimation for comparison purposes: one of them is being an extended Kalman filter used as an estimator, and the other is a relevant state observer with moving horizon with a study of convergence based on the choice of the matrix of covariance of the noises of system and measurements. High performances are illustrated through a real‐time application on 5‐bus test system with Digital Signal Processing device (Dspace DS 1104). Copyright © 2015 John Wiley & Sons, Ltd.
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