Unknown input observer based on LMI for robust generation residuals
| Autor: | Abdelmadjid Meghabbar, Djamila Boubekeur, Souad Tahraoui |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Unknown input observer residual generation robustness linear matrix inequality formulation General Computer Science Computer science Control engineering 02 engineering and technology 020901 industrial engineering & automation Robustness (computer science) Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State observer Electrical and Electronic Engineering Observer based |
| Zdroj: | Volume: 25, Issue: 1 95-107 Turkish Journal of Electrical Engineering and Computer Science |
| ISSN: | 1300-0632 1303-6203 |
| Popis: | In this paper, a method of generating robust residuals of a linear system, subject to unknown inputs, is proposed. The impact of disturbances and uncertainty may create difficulties at the decision stage of diagnosis (false alarm); this has resulted in the use of a robust observer for the unknown inputs to ensure the robustness of the system based on the unknown input observer with an optimal decoupling approach, which has a sensitivity that is minimal to unknown inputs and maximal to faults. A generation of robust residuals is then transformed into a problem of robustness/sensitivity constraints (H$_{\infty }$, H and then solved via a linear matrix inequality formulation by the solver CVX. An application for the method performance is also given. |
| Databáze: | OpenAIRE |
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