Convolutional-fuzzy neural network method for actively controlling global spatial noise of vehicle

A fuzzy neural network and global space technology, applied in active noise control, sound-generating devices, instruments, etc., can solve the problems of multiple noise excitation sources and difficult control, and achieve the effect of noise control

Pending Publication Date: 2020-11-20
HUNAN UNIV OF TECH
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Problems solved by technology

[0019] This solution is suitable for noise reduction in a wider space, such as the global space of vehicles; it can overcome the defects of many noise

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  • Convolutional-fuzzy neural network method for actively controlling global spatial noise of vehicle
  • Convolutional-fuzzy neural network method for actively controlling global spatial noise of vehicle
  • Convolutional-fuzzy neural network method for actively controlling global spatial noise of vehicle

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Embodiment Construction

[0088] The drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product; in this article, " "Connection" may be a direct connection or an indirect connection; for those skilled in the art, it is understandable that some well-known structures and their descriptions may be omitted in the drawings. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention in specific situations. The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0089] This embodiment provides a convolution-fuzzy neural network method for actively controlling the global spatial noise of a vehicle, including setting multiple secondary paths around the noise red...

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Abstract

The invention discloses a convolutional-fuzzy neural network method for actively controlling global spatial noise of a vehicle. The method comprises the steps of arranging a plurality of secondary paths around a vehicle noise reduction area; acquiring a noise residual signal of each secondary path; adopting a convolutional-fuzzy neural network to firstly perform offline identification to obtain asecondary path model and then serve as an adaptive active noise control algorithm of the secondary path at the same time to correct controller parameters online; and finally, outputting multi-azimuthnoise cancellation signals. According to the invention, the convolutional-fuzzy neural network is used for identifying the inverse model of an object, a very effective method is provided for vehicle global space nonlinear noise identification, and the identification precision of the secondary path is improved by utilizing the nonlinear approximation capability of the convolutional-fuzzy neural network to a function; an active feedback noise elimination system is adopted, and a stable secondary path model is established; and the problems that vehicle global space noise is difficult to control and the frequency band is narrow are solved.

Description

technical field [0001] The invention relates to the technical field of vehicle noise control, and more specifically, relates to a convolution-fuzzy neural network method for actively controlling vehicle global space noise. Background technique [0002] In recent years, with the continuous improvement of my country's high-speed train manufacturing technology and the rapid increase in train speed, rail transit vehicles have gradually increased their comfort requirements to the same level after meeting the power requirements, and the noise control level is a measure of vehicle comfort. One of the key indicators. [0003] In the field of urban rail transit, the tunnel space makes the subjective feeling of noise more intense. Complaints from passengers and subway operating units about train noise issues have gradually emerged. Especially in cities where the subway has been in operation for a long time and the lines and vehicles are aging, the problem of wheel-rail and vehicle no...

Claims

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Application Information

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IPC IPC(8): G10K11/178
CPCG10K11/178G10K11/1785G10K2210/3038G10K2210/3029G10K2210/3018G10K2210/128
Inventor 李涛贺钰瑶冯江华桂卫华王宁罗竹辉龙永红胡云卿李燕
Owner HUNAN UNIV OF TECH
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