车内单座椅局部区域有源噪声控制研究OA北大核心CSTPCD

The current method for local noise control in automobiles primarily involves active headrests to reduce the noise around the passengers'ears.However,passengers'movement deteriorates the noise reduction performance.To address this issue,a head-tracking system has been combined with the active noise control system at the cost of increased complexity and expenses.Therefore,this paper investigates local noise control in a larger area around the passengers'head in the front passenger seat using the door speakers as secondary sources,and optimizes error sensing strategy to improve the noise reduction performance.Firstly,a finite element model of the lightly damped enclosure is established.Then based on this model,the upper limit frequency of 3 dB noise reduction in the target area is investigated,and the influence of the number and positions of error sensors on the noise reduction performance is also discussed,as well as the optimization of the arrangement of error sensors is carried out.Finally,real vehicle experiments are conducted on a typical urban road at different vehicle speeds.It is shown that,the upper frequency limit of 3 dB noise reduction in the passengers'head region(0.4 m×0.4 m×0.2 m)at the front seat is approximately 370 Hz at speeds of 50,60,and 80 km·h-1.The placement of error sensors has a large impact on noise reduction performance,and using a genetic algorithm to optimize the arrangement of error sensors improves the noise reduction performance.Using 12 optimized error sensors can achieve the same noise reduction performance as using 75 uniformly distributed error sensors.