Robust Diagnosis of a DC Motor by Bond Graph Approach
- 1 Laboratory ACS, Tunisia
Copyright: © 2020 Abderrahmène Sallami, Nadia Zanzouri and Mekki Ksouri. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
In this article, a Bond Graph (BG) approach is used for modeling, simulation and robust diagnosis of a DC Motor. The design and calculation of an observer is achieved by using graphical methods taking advantage of the structural properties of bond graph model. Simulation results are used to show the dynamic behavior of the system variables and assessing the performance of the observer. A modeling Bond Graph form Linear Fractional Transformations (BG-LFT) to generate constituted Analytical Redundant Relationship (ARR) two parts perfectly separated: A nominal portion denotes the residual and an uncertain part, which serves both to the calculation of adaptive thresholds for normal operation and to sensitivity analysis.
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- Bond Graph
- Robust Diagnosis
- DC Motor
- Linear Fractional Transformations
- Analytical Redundant Relationship