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Evolutionary based approach to modal parameter identification

Soal, Keith Ian and Volkmar, Robin and Hughes, Lloyd and Govers, Yves and Böswald, Marc (2019) Evolutionary based approach to modal parameter identification. IOMAC 2019 - 8th International Operational Modal Analysis Conference, 13.-15. Mai 2019, Copenhagen, Denmark.

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Abstract

An important task in modal analysis is the optimal selection of physical poles of a system. In this paper an Artificial Intelligence (AI) evolutionary algorithm is used to optimize the modal parameters from Output Only Modal Analysis (OMA). The evolutionary algorithm begins by generating a population selected randomly from mode clusters. The fitness of each individual is then evaluated based on the difference between the measured and synthesized spectra. The best individuals are then reproduced using a crossover strategy. A random mutation allows the exploration of the larger solution space in order to avoid convergence in local minima. The algorithm is tested on simulated data as well as the DLR AIRMOD laboratory structure, and is found to provide accurate and robust heuristic solutions to large and complex solution spaces.

Item URL in elib:https://elib.dlr.de/127890/
Document Type:Conference or Workshop Item (Speech)
Title:Evolutionary based approach to modal parameter identification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Soal, Keith IanKeith.Soal (at) dlr.dehttps://orcid.org/0000-0002-5132-6823
Volkmar, RobinRobin.Volkmar (at) dlr.deUNSPECIFIED
Hughes, Lloydlloyd.hughes (at) tum.deUNSPECIFIED
Govers, YvesYves.Govers (at) dlr.dehttps://orcid.org/0000-0003-2236-596X
Böswald, MarcMarc.Boeswald (at) dlr.deUNSPECIFIED
Date:May 2019
Refereed publication:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:artificial intelligence, automatic modal analysis, genetic algorithm
Event Title:IOMAC 2019 - 8th International Operational Modal Analysis Conference
Event Location:Copenhagen, Denmark
Event Type:international Conference
Event Dates:13.-15. Mai 2019
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 - Structures and Materials, L - Flight Physics
Location: Göttingen
Institutes and Institutions:Institute of Aeroelasticity > Structural Dynamics and System Identification
Deposited By: Soal, Dr Keith Ian
Deposited On:24 Jun 2019 11:32
Last Modified:24 Jun 2019 11:32

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