Vehicle ANC hardware optimal placement using Multi-objective genetic algorithm

ZHANG Pinjie1,2,ZHANG Lijun1,2,MENG Dejian1,2,HE Zhen1,2

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (5) : 169-175.

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PDF(2236 KB)
Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (5) : 169-175.

Vehicle ANC hardware optimal placement using Multi-objective genetic algorithm

  • ZHANG Pinjie1,2,ZHANG Lijun1,2,MENG Dejian1,2,HE Zhen1,2
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Abstract

Here,the issue of loudspeakers or microphones optimal placement of vehicle active noise control (ANC) systems was investigated.First of all,a method was introduced to predict the effect of vehicle multichannel ANC systems based on the boundary element methods (BEM) simulation.The method was replaced by a surrogate model so that the fast predicting the system’s denoising performance was realized.The number and location of microphones and speakers were taken as variables in such a model so that the model was optimized with Matlab.A kind of Multi-objective genetic algorithm was used to optimize this model.The placement plans reducing noise well in full frequency domain with least loudspeakers and microphones were retained.Pareto optimal front of the optimization model was used to give a quantitative result of the relationship between the number of loudspeakers or microphones resources and the noise reduction effect.The results provided a basis for arranging the location of loudspeakers and microphones in a vehicles.

Key words

active noise control / hardware placement / surrogate model / multi-objective genetic algorithm

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ZHANG Pinjie1,2,ZHANG Lijun1,2,MENG Dejian1,2,HE Zhen1,2. Vehicle ANC hardware optimal placement using Multi-objective genetic algorithm[J]. Journal of Vibration and Shock, 2017, 36(5): 169-175

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