Active noise control system based on variable step LMS algorithm

A technology of active noise control and LMS algorithm, applied in the direction of impedance network, adaptive network, electrical components, etc., can solve the problems of slow algorithm convergence speed, large steady-state imbalance, and small calculation amount of fixed-step LMS algorithm , to achieve the effect of solving the convergence speed and fast convergence speed

Inactive Publication Date: 2017-06-30
ANHUI NORMAL UNIV
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In recent years, active noise reduction technology has gradually become practical. Active noise control systems generally include two parts: feedforward control and secondary channel identification using the FX-LMS algorithm. The fixed-step LMS algorithm has a small amount of calculation and is easy to implement in hardware. , so the secondary channel identification in the general control system adopts the adaptive filtering of the fi

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
  • Active noise control system based on variable step LMS algorithm
  • Active noise control system based on variable step LMS algorithm
  • Active noise control system based on variable step LMS algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0017] figure 1 Shown is the structure of the active noise reduction control system. The system contains two input channels (reference noise signal channel and error noise signal channel) and one output channel (control signal channel). The signal conditioning module includes a signal input module and a signal output module. It is used to amplify and filter the signal to prevent aliasing; AD conversion module is used to perform analog-to-digital conversion on the input signal and digital-to-analog conversion on the output DSP signal; in the controller, the secondary channel identification is performed first, Then the control signal is calculated according to a certain control algorithm, sent out through the control signal channel, and superimposed with the original noise. This processing is performed once every sampling time, ...

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 discloses an active noise control system based on a variable step LMS algorithm. According to the system, a filter based on the variable step LMS algorithm is applied to identification of a secondary channel; a filter weight value is updated by adjusting a step value of the filter; in order to obtain a relatively fast convergence rate, the step value of self-adaptive filtering in an initial phase is relatively high; and when the self-adaptive filtering approaches a steady state, the step size is reduced, so a relatively low steady state error can be obtained. The variable step LMS algorithm is applied to the identification of the secondary channel of the active noise control system, and the contradiction among the convergence rate, the steady state error and a tracking capability of a time-varying system can be solved well.

Description

technical field [0001] The invention relates to the technical field of active noise reduction, in particular to an active noise control system based on a variable step size LMS algorithm. Background technique [0002] In recent years, active noise reduction technology has gradually become practical. Active noise control systems generally include two parts: feedforward control and secondary channel identification using the FX-LMS algorithm. The fixed-step LMS algorithm requires less calculation and is easy to implement in hardware. , so the secondary channel identification in the general control system adopts the adaptive filtering of the fixed-step LMS algorithm, but the steady-state offset of the fixed-step LMS algorithm is proportional to the filter order and step size, and inversely proportional to the convergence time, and also That is, increasing the step size can speed up the convergence of the algorithm, but the steady-state offset will become larger; reducing the ste...

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
IPC IPC(8): H03H21/00
CPCH03H21/00H03H21/0001
Inventor 张丽陈卫松崔婷玉黄兴
Owner ANHUI NORMAL UNIV
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