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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Active
Noise Control Design With Simple Genetic Algorithm |
Authors: |
Noormaziah Jafferi, M. Osman
Tokhi |
Published in: |
ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
Citation
format: |
Jafferi, N., & Tokhi,
M. O. (2007). An Environment For Stability Assessment Of Single-Source Active
Noise Control Systems In 3D Free-Field Propagation. ECMS 2007 Proceedings
edited by: I. Zelinka, Z. Oplatkova,
A. Orsoni (pp. 611-615).
European Council for Modeling and Simulation. doi:10.7148/2007-0611. |
DOI: |
http://dx.doi.org/10.7148/2007-0611 |
Abstract: |
This
paper presents an investigation into the development of a fixed controller
for noise cancellation using a simple genetic algorithm (GA). A single-input
single-output (SISO) configuration of the control algorithm is developed on
the basis of optimum cancellation of noise at an observation point. The
algorithm is implemented on a GA and its performance assessed in the
cancellation of noise in a free-field medium. The global search technique of
GA is used to develop an active noise control (ANC) system and evaluate its
performance. In this investigation, randomly selected parameters are optimised for different, arbitrarily chosen coordinates
to fit the system by applying the working mechanism of GA. The percentage of
reinforcement that occurs in the medium is adopted as the objective function
value. GA is utilised to obtain the best controller
parameters among all the attempted orders and configurations. The GA-ANC
algorithm is implemented and simulation results are presented to asses the
performance of the system, with single- frequency noise. |
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