Wahrburg, Arne ; Adamy, Jürgen (2023)
Robust fault isolation observers for non-square systems - a parametric approach.
In: IFAC Proceedings Volumes, 2012, 45 (20)
doi: 10.26083/tuprints-00023315
Article, Secondary publication, Publisher's Version
![[img]](https://tuprints.ulb.tu-darmstadt.de/style/images/fileicons/text.png) |
Text
1-s2.0-S1474667016349308-main.pdf Copyright Information: CC BY-NC-ND 4.0 International - Creative Commons, Attribution NonCommercial, NoDerivs. Download (346kB) |
| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Robust fault isolation observers for non-square systems - a parametric approach |
| Language: | English |
| Date: | 2023 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2012 |
| Publisher: | IFAC - International Federation of Automatic Control |
| Journal or Publication Title: | IFAC Proceedings Volumes |
| Volume of the journal: | 45 |
| Issue Number: | 20 |
| DOI: | 10.26083/tuprints-00023315 |
| Corresponding Links: | |
| Origin: | Secondary publication service |
| Abstract: | In this article, a linear matrix inequality (LMI)-based design for robust fault isolation observers (FIOs) for linear systems with arbitrary fault detectability indices is presented. A parametric design is used to achieve stable fault isolation in square systems as well as non-square systems. Based on this design, the influence of arbitrary disturbances is attenuated by a proper optimization of the observer gain matrices. The applicability of the proposed design is verified in simulations of a helicopter model. |
| Uncontrolled Keywords: | robust fault isolation, observer-based fault isolation, LMIs, parametric design |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-233150 |
| Additional Information: | Zugl. Konferenzveröffentlichung: 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), 29.-31.08.2012, Mexico City, Mexico |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems |
| Date Deposited: | 03 Mar 2023 10:03 |
| Last Modified: | 26 May 2023 07:12 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23315 |
| PPN: | 507994094 |
| Export: |
 |
View Item |
Drucken
Impressum