Multi-objective actuator placement optimization for local sound control evaluated in a stochastic domain
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
Published inComputational Methods in Applied Sciences
© 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.
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. ...
Is part of publicationNumerical Methods for Differential Equations, Optimization, and Technological Problems/Sergey, R., Tiihonen, T., Tuovinen, T. (eds.) ISBN 978-94-007-5287-0