A data-driven sensor fault-tolerant control scheme based on subspace identification
- We study the sensor fault estimation and accommodation problems in a data-driven \(\mathcal{H}_\infty\) setting, leading to a data-driven sensor fault-tolerant control scheme. First, we formulate the fault estimation problem as a finite-horizon minimax \(\mathcal{H}_\infty\)-optimization problem in a data-driven setup, whose solution yields the fault estimate. The estimated fault is then used for output compensation. This compensated output and the experimental input are used to achieve certain control objectives in a data-driven \(\mathcal{H}_\infty\) setting. Next, the data-driven \(\mathcal{H}_\infty\) fault estimation and control problems are solved using a subspace predictor-based approach. Finally, the proposed algorithm is applied to the steering subsystem of the remotely operated underwater vehicle.
Author: | Mina Salim, Saeed AhmedORCiD, Mohammad Javad Khosrowjerdi |
---|---|
URN: | urn:nbn:de:hbz:386-kluedo-80122 |
DOI: | https://doi.org/10.1002/rnc.5666 |
ISSN: | 1099-1239 |
Parent Title (English): | International Journal of Robust and Nonlinear Control |
Publisher: | Wiley |
Document Type: | Article |
Language of publication: | English |
Date of Publication (online): | 2024/04/12 |
Year of first Publication: | 2021 |
Publishing Institution: | Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |
Date of the Publication (Server): | 2024/04/17 |
Issue: | 31/15 |
Page Number: | 16 |
First Page: | 6991 |
Last Page: | 7006 |
Source: | https://onlinelibrary.wiley.com/doi/10.1002/rnc.5666 |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Elektrotechnik und Informationstechnik |
DDC-Cassification: | 0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Collections: | Open-Access-Publikationsfonds |
Licence (German): | Zweitveröffentlichung |