摘要
建立了一种基于神经网络方法的车内噪声主动控制系统。用Elman神经网络对驾驶员耳旁噪声信号进行识别、预测,并用LSLL自适应信号处理方法对车内低频噪声进行主动控制。通过在稳态工况下对被测试轻型客车的试验研究表明,此系统能有效降低车内低频噪声。
The NN-based adaptive control system of interior noise are created.The ELMAN neural network is ap-plied to identify and predict noise at driver’s ear and the LSLL adaptive signal process method is applied to actively con-trol interior low-frequency noise.It is shown by experimental study on the tested light bus under steady operating condi -tions that this system can effectively reduce interior low-frequency noise.
出处
《汽车技术》
北大核心
2003年第10期1-3,6,共4页
Automobile Technology
基金
教育部优秀青年教师资助计划项目
高等学校博士学科点专项科研基金资助项目(1999018503)。
