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Multiobjective optimization-based fault-tolerant flight control system design

Ossmann, Daniel and Joos, H.-D. (2017) Multiobjective optimization-based fault-tolerant flight control system design. International Journal of Robust and Nonlinear Control. Wiley. doi: 10.1002/rnc.3955. ISSN 1049-8923.

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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/rnc.3955/full


The loss of measurements used for controller scheduling or envelope protection in modern flight control systems due to sensor failures leads to a challenging fault-tolerant control law design problem. In this article, an approach to design such a robust fault-tolerant control system, including full envelope protections using multiobjective optimization techniques, is proposed. The generic controller design and controller verification problems are derived and solved using novel multiobjective hybrid genetic optimization algorithms. These algorithms combine the multiobjective genetic search strategy with local, single-objective optimization to improve convergence speed. The proposed strategies are applied to the design of a fault-tolerant flight control system for a modern civil aircraft. The results of an industrial controller verification and validation campaign using an industrial benchmark simulator are reported.

Item URL in elib:https://elib.dlr.de/118395/
Document Type:Article
Title:Multiobjective optimization-based fault-tolerant flight control system design
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ossmann, Danieldaniel.ossmann (at) dlr.deUNSPECIFIED
Date:27 September 2017
Journal or Publication Title:International Journal of Robust and Nonlinear Control
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1002/rnc.3955
Keywords:multiobjective optimization, fault-tolerant, FCS,
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems and Cabin (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Aircraft System Dynamics
Deposited By: Pusch, Manuel
Deposited On:22 Jan 2018 14:33
Last Modified:06 Sep 2019 15:21

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