Digital feed-forward adaptive hybrid active noise control method and device

An active noise control and feedback control technology, applied in speech analysis, instruments, etc., can solve the problem of high system complexity, and achieve the effect of simplifying the system structure, improving the noise elimination effect, and reducing the complexity

Inactive Publication Date: 2016-02-10
SHENZHEN COOLHEAR INFORMATION TECH CO LTD
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The digital feed-forward control scheme given in the literature [S.Elliott, Signal Processing for Active Control, Academic Press] relies on internal model control (InternalModelControl), and the system complexity is high

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Digital feed-forward adaptive hybrid active noise control method and device
  • Digital feed-forward adaptive hybrid active noise control method and device
  • Digital feed-forward adaptive hybrid active noise control method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] figure 1 The implementation flow of a digital feedback-forward adaptive hybrid active noise control method provided by the first embodiment of the present invention is shown, and the details are as follows:

[0031] In step S101, a feedforward control filter and a feedback control filter are set.

[0032] In the specific implementation process, it is first necessary to set the feedforward control filter and the feedback control filter. When setting the feedforward control filter and the feedback control filter, it is included. First, the order needs to be set, and then the adaptive control filter needs to be set. iteration coefficient.

[0033] In step S102, the feedforward control filter filters the obtained reference signal to obtain a first control signal, and the feedback control filter filters the obtained error signal to obtain a second control signal.

[0034] In the embodiment of the present invention, the feed-forward control filter first performs filtering p...

Embodiment 2

[0041] Figure 5 A structure diagram of a digital feedback-forward adaptive hybrid active noise control device provided by the second embodiment of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0042] The setting unit is used for setting the feedforward control filter and the feedback control filter.

[0043] In the specific implementation process, the setting unit is used to set the feedforward control filter and the feedback control filter. When setting the feedforward control filter and the feedback control filter, it is included. First, the order needs to be set, and then the order needs to be set. Determine the adaptive iteration coefficient.

[0044] The noise control unit is used for the feedforward control filter to filter the acquired reference signal to obtain a first control signal, and the feedback control filter to filter the acquired error signal to obtain a seco...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is applicable to the field of noise elimination and provides a digital feed-forward adaptive hybrid active noise control method and device. The method comprises: setting a feed-forward control filter and a feedback control filter; the feed-forward control filter filtering an acquired reference signal to obtain a first control signal, and the feedback control filter filtering an acquired error signal to obtain a second control signal; the feedback control filter carrying out adaptive iteration according to the error signal acquired by an error sensor, and the feed-forward control filter carrying out adaptive iteration according to the reference signal and error signal. Through the adaptive adjustment of filter parameters and the feedback control scheme and feed-forward control scheme using a same algorithm module, system complexity is reduced.

Description

technical field [0001] The invention belongs to the field of noise elimination, in particular to a digital feed-forward self-adaptive hybrid active noise control method and device. Background technique [0002] At present, active noise control uses a reasonable control algorithm to drive the control source to generate a suitable acoustic signal, which is used to cancel the noise at the error sensor, and then achieve noise reduction in the local space and even the overall space. It has attracted widespread attention because it can control low-frequency noise at a lower cost. Common methods of active noise control include feedforward control, which is suitable for situations where a noise reference signal is available, and feedback control, which is suitable for situations where only error sensors can be used. In order to improve the overall effect of active noise control, the feedback-forward hybrid control system combining feedforward and feedback control has attracted more...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0208G10L21/0224G10L21/0232G10L25/27
CPCG10L21/0208G10L21/0224G10L21/0232G10L25/27
Inventor 卢晶李斌王传波
Owner SHENZHEN COOLHEAR INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap