Multi-objective actuator placement optimization for local sound control evaluated in a stochastic domain

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dc.contributor.author Airaksinen, Tuomas
dc.contributor.author Aittokoski, Timo
dc.date.accessioned 2012-10-17T08:27:22Z
dc.date.available 2012-10-17T08:27:22Z
dc.date.issued 2013
dc.identifier.citation Airaksinen, T. & Aittokoski, T. (2013). Multi-Objective Actuator Placement Optimization for Local Sound Control Evaluated in a Stochastic Domain. In: Repin, S., Tiihonen, T., Tuovinen, T. (eds.), Numerical Methods for Differential Equations, Optimization, and Technological Problems. Dedicated to Professor P. Neittaanmäki on His 60th Birthday. Computational Methods in Applied Sciences, 2013, Volume 27, Part 4, 321-334, DOI 10.1007/978-94-007-5288-7_17
dc.identifier.issn 1871-3033
dc.identifier.uri http://hdl.handle.net/123456789/40013
dc.description.abstract A method to find optimal locations and properties of anti-noise actuators in a local noise control system is considered. The local noise control performance is approximated by an approach based on a finite element method, attempting to estimate the average performance of an optimal active noise control (ANC) system. Local noise control uses a fixed number of circular actuators that are located on the boundary of a three-dimensional enclosed acoustic space. Actuator signals are used to minimize the known harmonic noise at specified locations. The average noise reduction is maximized at two frequency ranges by adjusting the anti-noise actuator configuration, which is a non-linear multi-objective optimization problem. To solve the optimization problem, an unsorted population size evolutionary optimization algorithm (UPS-EMOA) is considered, and its performance is compared to the widely-known NSGA-II method. As a numerical example problem, the ANC in a passenger car cabin is considered. Significantly better noise control is obtained with the optimized actuator locations than only by a engineer’s sophisticated guess. fi
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Numerical Methods for Differential Equations, Optimization, and Technological Problems/Sergey, R., Tiihonen, T., Tuovinen, T. (eds.) ISBN 978-94-007-5287-0
dc.relation.ispartofseries Computational Methods in Applied Sciences
dc.relation.uri http://www.springer.com/materials/mechanics/book/978-94-007-5287-0
dc.rights © Springer Science+Business Media Dordrecth 2013. This is an autor's final draft version of an article whose final and definitive form has been published by Springer.
dc.rights openAccess fi
dc.subject.other computational acoustics en
dc.subject.other active noise control en
dc.subject.other acoustics en
dc.subject.other passive noise control en
dc.subject.other finite element method en
dc.subject.other shape optimization en
dc.subject.other akustiikka fi
dc.subject.other melunvaimennus fi
dc.subject.other meluntorjunta fi
dc.subject.other matemaattiset mallit fi
dc.subject.other mallintaminen fi
dc.title Multi-objective actuator placement optimization for local sound control evaluated in a stochastic domain
dc.type Book item en
dc.identifier.urn URN:NBN:fi:jyu-201210172704
dc.subject.kota
dc.contributor.laitos Tietotekniikan laitos fi
dc.contributor.laitos Department of Mathematical Information Technology en
dc.type.uri http://purl.org/eprint/type/SubmittedBookItem
dc.identifier.doi 10.1007/978-94-007-5288-7_17
dc.description.version Final Draft
eprint.status http://purl.org/eprint/type/status/PeerReviewed

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