New Diagnosis Method by Luenberger Observer Using Bond Graph Approach
Abderrahmène SALLAMI1, Nadia ZAZOURI2, Mekki KSOURI3
1Abderrahmène SALLAMI, Doctor in Electro-Technical, 15, Street Mohamed Bjaoui, 2015 Tunis, Tunisia.
2Nadia ZAZOURI, Doctor in Electro-Technical, 15, Street Mohamed Bjaoui, 2015 Tunis, Tunisia.
3Mekki KSOURI, Doctor in Electro-Technical, 15, Street Mohamed Bjaoui, 2015 Tunis, Tunisia.
Manuscript received on February 12, 2016. | Revised Manuscript received on February 15, 2016. | Manuscript published on February 25, 2016. | PP: 9-16 | Volume-4 Issue-3, February 2016. | Retrieval Number: C1059024316
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper concerns the design of a new methodology for diagnosis by Luneberger Observer using the Bond Graph. The observer design provides a state estimated from the model and inputs and outputs measurements. Furthermore, we have exploited the architectural of the Bond Graph to generate the diagnostic condition based on Luenberger observers. Furthermore, the performance of the proposed diagnosis system is studied by these residuals to the certainties and faults. The research results have been applied to an industrial process RODS (Reverse Osmosis Desalination System) of Research and Technology Center of Energy Borj Cedria. In this context, the proposed method was operated from the modeling step to the diagnosis system step
Keywords: Diagnosis, Lunberger Observer, Bond Graph, Reverse Osmosis Desalination System.