Active Noise Control Stabilization via Frequency Segmentation

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Solution Overview

Problem

Conventional active noise control apparatuses face challenges in suppressing abnormal noise caused by background disturbances without impairing the noise silencing effect, particularly when using methods that mute control sounds or adjust step sizes, leading to reduced effectiveness in noise cancellation.

Innovation Solution

An active noise control apparatus that includes a sound source signal generating unit, a control signal filter, a stabilization processing unit, a reference signal filter, and a filter coefficient updating unit, which allows signals in the control frequency band to pass through while blocking disturbance frequencies, thereby stabilizing the control signal and preventing reduction of noise-effective frequency components.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If disturbance suppression processing is applied to error signals to reduce abnormal noise, then abnormal noise is reduced, but the noise silencing effect is impaired

Engineering Contradiction:
Improveabnormal noiseVSAvoidnoise silencing effect
Core Design Contradiction:
Object-affected harmful factorsVSReliability

Solution Approach 1:

The error signal is segmented into multiple frequency components through Fourier transformation. By separating the signal into frequency domains, the system can selectively process different frequency components - suppressing disturbance frequencies while preserving noise cancellation frequencies, thus resolving the contradiction between reducing abnormal noise and maintaining noise silencing effect

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different processing qualities are applied to different frequency components of the error signal. Frequency components corresponding to disturbances receive suppression processing, while frequency components corresponding to effective noise cancellation signals are preserved. This local differentiation allows simultaneous reduction of abnormal noise and maintenance of noise silencing effect

Inventive Principle:
Principle #3Local quality

2Object-affected harmful factors

If the control sound is muted constantly to suppress disturbance, then abnormal noise is reduced, but the noise silencing effect is lost fundamentally

Engineering Contradiction:
Improveabnormal noiseVSAvoidnoise silencing effect
Core Design Contradiction:
Object-affected harmful factorsVSReliability

Solution Approach 1:

Instead of constant muting, the system dynamically adjusts the processing applied to the error signal based on frequency analysis. The degree of suppression is varied continuously - strong suppression for disturbance frequencies and minimal or no suppression for effective cancellation frequencies. This dynamic, frequency-selective approach eliminates abnormal noise while preserving the noise silencing effect

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the processing parameters (suppression strength) based on the frequency characteristics of the error signal. By transforming to frequency domain and applying frequency-dependent processing, the system adapts its response to different signal components, suppressing only the harmful disturbance frequencies while maintaining the useful cancellation signals

Inventive Principle:
Principle #35Parameter changes

3Stability of the object's composition

If the step size is suppressed constantly to stabilize control, then control stability is improved, but the ability to follow a change in noise is lost

Engineering Contradiction:
Improvecontrol stabilityVSAvoidability to follow noise change
Core Design Contradiction:
Stability of the object's compositionVSSpeed

Solution Approach 1:

The system implements dynamic step size adjustment based on frequency content analysis. For frequency components identified as disturbances, constant or reduced step sizes provide stability. For frequency components corresponding to changing noise, larger step sizes enable rapid tracking. This dynamic, frequency-selective step size control simultaneously achieves stability and responsiveness

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The control parameters are segmented by frequency component. Different adaptation parameters (step sizes) are applied to different frequency bands - smaller steps for stable disturbance frequencies and larger steps for dynamically changing noise frequencies. This segmentation allows the system to maintain stability where needed while following changes where required

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10199033B1Active noise control apparatus
Publication Date: 2019.02.05 MITSUBISHI ELECTRIC MOBILITY CORP
  • US10199033B1 patent drawing
  • US10199033B1 patent drawing
  • US10199033B1 patent drawing

AI summary

An active noise control apparatus (100) includes: a sound source signal generating unit (1) generating a sound source signal from a control frequency determined in accordance with a noise source (400); a control signal filter (2) generating an original control signal by filtering the sound source signal; a stabilization processing unit (5) generating a control signal by filtering the original control signal to allow a signal in a frequency band including the control frequency to pass through, and to block a signal in a frequency band including disturbance added to the noise; a reference signal filter (3) generating a reference signal by filtering the sound source signal. The apparatus further includes: a filter coefficient updating unit (4) updating a filter coefficient sequence of the control signal filter using an error signal being an interference between a secondary noise generated from the control signal and the noise, and the reference signal.