Active noise eliminating system

• US 5,426,703 A
• Filed: 05/15/1992
• Issued: 06/20/1995
• Est. Priority Date: 06/28/1991
• Status: Expired due to Term

• Current Assignee: Nissan Motor Co., Ltd.
• Original Assignee: Nissan Motor Co., Ltd.
• Inventors: Doi, Kazuhiro, Hamabe, Tsutomu, Kinoshita, Akio, Nakaji, Yoshiharu, Muraoka, Kenichiro
• Primary Examiner(s): Kuntz, Curtis
• Assistant Examiner(s): LEE, PING
• Application Number:
  US07/883,447
• Time in Patent Office: 1,131 Days
• Field of Search: 381/71, 381/94, 381/86
• US Class Current: 381/71.12
• CPC Class Codes: G10K 11/17817 between the output signals and the error signals, i.e. secondary path
• CPC Class Codes: G10K 11/17825 Error signals
• CPC Class Codes: G10K 11/17833 by using a self-diagnostic function or a malfunction prevention function, e.g. detecting abnormal output levels
• CPC Class Codes: G10K 11/17854 the filter being an adaptive filter
• CPC Class Codes: G10K 11/17857 Geometric disposition, e.g. placement of microphones
• CPC Class Codes: G10K 11/17883 the reference signal being derived from a machine operating condition, e.g. engine RPM or vehicle speed
• CPC Class Codes: G10K 2210/121 Rotating machines, e.g. engines, turbines, motors; Periodic or quasi-periodic signals in general
• CPC Class Codes: G10K 2210/128 Vehicles
• CPC Class Codes: G10K 2210/30232 Transfer functions, e.g. impulse response
• CPC Class Codes: G10K 2210/3039 Nonlinear, e.g. clipping, numerical truncation, thresholding or variable input and output gain
• CPC Class Codes: G10K 2210/30391 Resetting of the filter parameters or changing the algorithm according to prevailing conditions
• CPC Class Codes: G10K 2210/3042 Parallel processing
• CPC Class Codes: G10K 2210/3046 Multiple acoustic inputs, multiple acoustic outputs
• CPC Class Codes: G10K 2210/3049 Random noise used, e.g. in model identification
• CPC Class Codes: G10K 2210/3057 Variation of parameters to test for optimisation
• CPC Class Codes: G10K 2210/503 Diagnostics; Stability; Alarms; Failsafe

Abstract

An active noise eliminating system comprises microphones for detecting residual noise, speakers for generating noise elimination sound for interference with the residual noise, a noise generating condition sensor for generating noise condition, a controller for generating noise elimination signals inputted to the speakers and determined by the detected residual noise signals and the detected noise condition signal in accordance with a control algorithm including transfer functions between the speakers and microphones respectively. The transfer functions are updated on the basis of a test signal generated when noise sound diverges.

Claims

1. An active noise eliminating system, comprising:

(a) means for detecting a residual noise signal;

(b) means for generating noise eliminating sound for interference with the residual noise;

(c) means for detecting a noise generating condition signal of a noise source;

(d) means for controlling a noise elimination signal applied to said noise eliminating sound generating means by calculating the noise elimination signal on the basis of the detected residual noise signal and the detected noise generating condition signal in accordance with a control algorithm including a transfer function between said noise eliminating sound generating means and said residual noise signal detecting means;

(e) divergence detecting means for directly detecting a divergence condition of said noise eliminating sound and generating a divergence indicating signal indicative thereof;

(f) test signal generating means, responsive to said divergence indicating signal generated by said divergence detecting means for generating a test signal for said noise eliminating sound generating means; and

(g) updating means responsive to said divergence indicating signal generated by said divergence detecting means for updating the transfer function between said noise eliminating sound generating means and said residual noise signal detecting means on the basis of the test signal whenever said sound divergence detecting means detects sound divergence, for prevention of noise divergence.

2. The active noise eliminating system of claim 1, wherein said divergence detecting means detects a sound divergence on the basis of signals detected by said residual noise detecting means.

3. The active noise eliminating system of claim 1, wherein said divergence detecting means detects a sound divergence on the basis of signals for activating said noise eliminating sound generating means.

4. The active noise eliminating system of claim 1, wherein said divergence detecting means detects a factor which exerts an influence upon the transfer function between said noise eliminating sound generating means and said residual noise detecting means.

5. The active noise eliminating system of claim 1, wherein said residual noise detecting means is a microphone.

6. The active noise eliminating system of claim 1, wherein said noise eliminating sound generating means is a speaker.

7. The active noise eliminating system of claim 1, wherein said noise generating condition detecting means is an engine crankshaft angular sensor.

8. The active noise eliminating system of claim 1, wherein the noise elimination signal applied to said noise eliminating sound generating means is controlled by calculating a reference signal on the basis of the detected noise generating condition signal and the transfer function between said noise eliminating sound generating means and said residual noise signal detecting means, calculating an adaptive control coefficient on the basis of the calculated reference signal and the detected noise signal, and calculating the noise elimination signal on the basis of the adaptive control coefficient and the detected noise generating condition signal.

9. The active noise eliminating system of claim 8, wherein the reference signal r_lm is calculated on the basis of the detected noise generating condition signal x and a transfer functions C_lm in accordance with a formula:

##EQU14## where n denotes a sampling time;

i denotes an ordinal number of I_k -piece adaptive filter coefficients of said control means;

j denotes an ordinal number of I_c -piece filter coefficients of said control means;

l denotes an ordinal number of the L-piece residual noise signal detecting means; and

m denotes an ordinal number of M-piece noise eliminating sound generating means.

10. The active noise eliminating system of claim 9, wherein the adaptive control coefficient W_mi is calculated on the basis of the calculated reference signal r_lm and the detected noise signals e_l in accordance with a formula:

##EQU15## where α

denotes a convergence factor; and

γ

denotes a weight coefficient.

11. The active noise eliminating system of claim 10, wherein the noise elimination signal y_m is calculated on the basis of the adaptive control coefficient W_mi and the noise generating condition signal x in accordance with a formula:

##EQU16##

12. The active noise eliminating system of claim 9, wherein the transfer function C_lm is updated to prevent sound divergence in accordance with the following formula:

##EQU17## where μ

denotes a convergence coefficient.

13. An active noise eliminating system comprising

(a) means for detecting a residual noise signal;

(b) means for generating noise eliminating sound for interference with the residual noise;

(c) means for detecting a noise generating condition signal of a noise source;

(d) means for controlling a noise elimination signal applied to said noise eliminating sound generating means by calculating the noise elimination signal on the basis of the detected residual noise signal and the detected noise generating condition signal in accordance with a control algorithm including a transfer function between said noise eliminating sound generating means and said residual noise signal detecting means;

(e) divergence detecting means for detecting a divergence condition of said noise eliminating sound and generating a divergence indicating signal indicative thereof;

(f) test signal generating means, responsive to said divergence indicating signal generated by said divergence detecting means for generating a test signal for said noise eliminating sound generating means;

(g) updating means responsive to said divergence indicating signal generated by said divergence detecting means for updating the transfer function between said noise eliminating sound generating means and said residual noise signal detecting means on the basis of the test signal whenever said sound divergence detecting means detects sound divergence, for prevention of noise divergence,

wherein said divergence detecting means comprises;

(h) means disposed in the vicinity of said noise eliminating sound generating means, for detecting said noise eliminating sound outputted by said noise eliminating sound generating means; and

(i) means for calculating a second transfer function, between a signal for activating said noise eliminating sound generating means and a signal outputted by said noise eliminating sound detecting means, and

wherein said divergence detecting means operates for detecting a sound divergence on the basis of a change in phase of the calculated second transfer function.

14. In an active noise eliminating system having a plurality of microphones for receiving residual noise, a plurality of speakers for generating noise eliminating sound for interference with the residual noise, noise generating condition sensor, a controller for generating noise elimination signals (y_m) applied to the speaker and determined by adaptive controller coefficients (W_m |), residual noise signals (el) detected by the microphones, and a reference signal (X) detected by the noise generating condition sensor in accordance with a control algorithm including transfer functions (Cl_m) between the speakers and the microphones respectively, a method of updating the transfer functions (Cl_m), which comprises the steps of:

(a) detecting whether the noise eliminating sound diverges or not;

(b) generating a divergence detection signal when the noise eliminating sound diverges;

(c) transmitting a test signal to the speakers in response to the divergence detection signal;

(d) calculating the transfer functions (Cl_m)between the speakers and the microphones on the basis of the transmitted test signal; and

(e) updating the transfer functions by the transfer functions calculated on the basis of the test signal.

15. The method of claim 14, wherein the sound divergence is detected by the steps of:

(a) calculating an addition of squares of noise signals detected by the microphones;

(b) comparing the calculated square addition with a predetermined value; and

(c) if the calculated square addition is equal to or greater than said predetermined value, generating the divergence detection signal.

16. The method of claim 14, wherein the sound divergence is detected by the steps of:

(a) calculating adaptive controller coefficients;

(b) comparing the calculated adaptive coefficients with a predetermined value;

(c) if each of the calculated adaptive coefficients is equal to or greater than said predetermined value, generating the divergence detection signal.

17. The method of claim 14, wherein the sound divergence is detected by the steps of:

(a) generating a test signal when noise is generated;

(b) detecting sound levels applied to the speakers;

(c) detecting sound level outputted from the speakers;

(d) calculating second transfer functions, between signal level inputted to the speakers and sound level outputted from the speakers, respectively;

(e) calculating a difference in phase between a current second transfer function and a preceding second transfer function;

(f) comparing the calculated phase difference with a predetermined value; and

(g) if the calculated phase difference exceeds the predetermined value, generating the divergence detection signal.