Stepped and swept control-based continuation using adaptive filtering
File(s)Preprint.pdf (5.22 MB)
Accepted version
Author(s)
Abeloos, Gaetan
Renson, Ludovic
Collette, Christophe
Kerschen, Gaetan
Type
Journal Article
Abstract
This paper introduces a new online method for performing control-based continuation (CBC), speeding up the model-less identification of stable and unstable periodic orbits of nonlinear mechanical systems. The main building block of the algorithm is adaptive filtering which can ensure the non-invasiveness of the controller without the need for offline corrective iterations. Two different strategies, termed stepped and swept CBC, are then developed for performing the continuation steps. A beam featuring different artificial stiffness and damping nonlinearities is considered for the experimental demonstration of the proposed developments. The performance of the CBC strategies are compared in terms of running time and identification accuracy.
Date Issued
2021-05-21
Date Acceptance
2021-04-29
Citation
Nonlinear Dynamics, 2021, 104 (4), pp.3793-3808
ISSN
0924-090X
Publisher
Springer
Start Page
3793
End Page
3808
Journal / Book Title
Nonlinear Dynamics
Volume
104
Issue
4
Copyright Statement
© 2021 Springer-Verlag. The final publication is available at Springer via https://doi.org/10.1007/s11071-021-06506-z
Sponsor
Royal Academy of Engineering
Royal Academy Of Engineering
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000652940100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
RF1516/15/11
RF1516/15/11
Subjects
Science & Technology
Technology
Engineering, Mechanical
Mechanics
Engineering
Control-based continuation
Adaptive filtering
Feedback stabilization
Invasiveness cancellation
BIFURCATION-ANALYSIS
IDENTIFICATION
MODES
Publication Status
Published
Date Publish Online
2021-05-21