Adaptive system for controlling noise generated by or emanating from a primary noise source

• US 5,347,586 A
• Filed: 04/28/1992
• Issued: 09/13/1994
• Est. Priority Date: 04/28/1992
• Status: Expired due to Term

• Current Assignee: Siemens Energy Incorporated (Siemens AG)
• Original Assignee: Westinghouse Electric Company LLC (Brookfield Asset Management Incorporated)
• Inventors: Putman, Thomas H., Hill, Peter D.
• Primary Examiner(s): Kuntz, Curtis
• Assistant Examiner(s): LEE, PING
• Application Number:
  US07/874,898
• Time in Patent Office: 868 Days
• Field of Search: 381/71, 381/94
• US Class Current: 381/71.8
• CPC Class Codes: G10K 11/17854 the filter being an adaptive filter
• CPC Class Codes: G10K 11/17855 for improving speed or power requirements
• CPC Class Codes: G10K 11/17857 Geometric disposition, e.g. placement of microphones
• CPC Class Codes: G10K 11/17881 the reference signal being an acoustic signal, e.g. recorded with a microphone
• CPC Class Codes: G10K 2210/107 Combustion, e.g. burner noise control of jet engines internal combustion engines G10K2210/121
• CPC Class Codes: G10K 2210/12822 Exhaust pipes or mufflers
• CPC Class Codes: G10K 2210/3025 Determination of spectrum characteristics, e.g. FFT
• CPC Class Codes: G10K 2210/3046 Multiple acoustic inputs, multiple acoustic outputs
• CPC Class Codes: G10K 2210/3216 Cancellation means disposed in the vicinity of the source

Abstract

An adaptive noise control system comprises a reference microphone (12) (FIG. 2) for generating a reference signal (x(t)) that is correlated with noise emanating from a primary noise source (10), secondary loud speaker sources (S₁, S₂, . . . S_N) for generating a plurality of secondary sound waves, microphones (e₁, e₂, . . . e_M) for detecting a plurality of far-field sound waves in a far-field of the primary noise source and generating a plurality of error signals (e₁ (t), e₂ (t), . . . e_M (t)) each of which is indicative of the power of a corresponding far-field sound wave, and an adaptive controller (14) for controlling the secondary sources in accordance with the reference signal and the error signals so as to minimize the power in the far-field sound waves.

Claims

1. An adaptive system for controlling noise generated by or emanating from a primary noise source, comprising:

(a) reference means for generating a reference signal (x(t)) that is correlated with the noise emanating from the primary noise source;

(b) secondary source means for generating a plurality of secondary sound waves;

(c) detection means for detecting a plurality of far-field sound waves in a far-field of said primary noise source, and generating a plurality of error signals each of which is indicative of the power of a corresponding far-field sound wave; and

(d) adaptive control means for controlling said secondary source means in accordance with said reference signal and said error signals so as to minimize the power in said far-field sound waves;

wherein said adaptive control means comprises;

(i) correlation means for generating autocorrelation data on the basis of said reference signal and generating crosscorrelation data on the basis of said reference signal and said error signals;

(ii) fast Fourier transform (FFT) means for generating auto-spectrum data and cross-spectrum data on the basis of said autocorrelation and crosscorrelation data;

(iii) finite impulse response (FIR) means, coupled to said reference means, for filtering said reference signal in accordance with a plurality of weighting functions and for providing filtered versions of said reference signal to control the output of said secondary source means, each of the weighting functions being associated with a corresponding one of said secondary sound waves to be generated by said secondary source means; and

(iv) adapting means for processing said auto-spectrum and cross-spectrum data so as to derive said weighting functions, and for providing said weighting functions to said FIR means.

2. An adaptive system for controlling noise generated by or emanating from a primary noise source, comprising:

(a) reference means for generating a reference signal that is correlated with the noise emanating from the primary noise source;

(b) secondary source means for generating a plurality of secondary sound waves;

(c) detection means for detecting a plurality of far-field sound waves in a far-field of said primary noise source, and generating a plurality of error signals each of which is indicative of the power of a corresponding far-field sound wave; and

(d) adaptive control means for controlling said secondary source means in accordance with said reference signal and said error signals so as to minimize the power in said far-field sound waves;

wherein said reference means comprises means for detecting acoustic noise in a near-field of said primary noise source;

wherein said secondary source means comprises a plurality of loudspeakers;

wherein said detection means comprises a plurality of microphones; and

wherein said adaptive control means comprises;

(i) correlation means for generating autocorrelation data on the basis of said reference signal and generating crosscorrelation data on the basis of said reference signal and said error signals;

(ii) fast Fourier transform (FFT) means for generating auto-spectrum data and cross-spectrum data on the basis of said autocorrelation and crosscorrelation data;

(iii) finite impulse response (FIR) means, coupled to said reference means, for filtering said reference signal in accordance with a plurality of weighting functions and for providing filtered versions of said reference signal to control the output of said secondary source means, each of the weighting functions being associated with a corresponding one of said secondary sound waves to be generated by said secondary source means; and

(iv) adapting means for processing said auto-spectrum cross-spectrum data so as to derive said weighting functions, and for providing said weighting functions to said FIR means.

3. The system described in claim 2, further comprising random number means for generating substantially random numbers and means for switching the input of said FIR means to said random number means, wherein a system identification function is performed.

4. The system described in claim 3, wherein said adapting means comprises inverse FFT means for performing an inverse Fast Fourier Transformation of said weighting functions prior to providing them to said FIR means.

5. A power generation system, comprising a combustion turbine coupled to an exhaust stack, and an adaptive, active control system for controlling multi-mode acoustic noise generated by said combustion turbine and emanating from said exhaust stack, said active control system comprising:

(a) reference means for generating a reference signal that is correlated with the noise generated by said combustion turbine;

(b) secondary source means for generating a plurality of secondary sound waves;

(c) detection means for detecting a plurality of far-field sound waves in a far-field of said exhaust stack, and generating a plurality of error signals each of which is indicative of the power of a corresponding far-field sound wave; and

(d) adaptive control means for controlling said secondary source means in accordance with said reference signal and said error signals so as to minimize the power in said far-field sound waves, said adaptive control means comprising;

(i) correlation means for generating autocorrelation data on the basis of said reference signal and generating crosscorrelation data on the basis of said reference signal and said error signals;

(ii) Fast Fourier Transform (FFT) means for generating auto-spectrum data and cross-spectrum data on the basis of said autocorrelation and crosscorrelation data;

(iii) finite impulse response (FIR) means, coupled to said reference means, for filtering said reference signal in accordance with a plurality of weighting functions and for providing filtered versions of said reference signal to control the output of said secondary source means, each of the weighting functions being associated with a corresponding one of said secondary sound waves to be generated by said secondary source means; and

(iv) adapting means for processing said auto-spectrum and cross-spectrum data so as to derive said weighting functions, and for providing said weighting functions to said FIR means.

6. A power generation system as described in claim 5, wherein said reference means comprises means for detecting acoustic noise in a near-field of said exhaust stack.

7. A power generation system as described in claim 6, wherein said secondary source means comprises a plurality of loudspeakers.

8. A power generation system as described in claim 7, wherein said detection means comprises a plurality of microphones disposed in the far-field of said exhaust stack.

9. A power generation system as described in claim 8, further comprising random number means for generating substantially random numbers and means for switching the input of said FIR means to said random number means, wherein a system identification function is performed.

10. A power generation system as described in claim 9, wherein said adapting means further comprises inverse FFT means for performing an inverse Fast Fourier Transformation of said weighting functions prior to providing them to said FIR means.

11. A method for controlling noise emanating from a primary noise source, comprising the steps of:

(a) generating a reference signal that is correlated with the noise emanating from said primary noise source;

(b) generating a plurality of secondary sound waves in a near-field of said primary noise source;

(c) detecting a plurality of far-field sound waves in a far-field of said primary noise source, and generating a plurality of error signals each of which is indicative of the power of a corresponding far-field sound wave; and

(d) controlling the generation of said secondary sound waves in accordance with said reference signal and said error signals so as to minimize the power in said far-field sound waves, said controlling step including the following sub-steps;

(i) generating autocorrelation data on the basis of said reference signal and generating crosscorrelation data on the basis of said reference signal and said error signals;

(ii) generating auto-spectrum data and cross-spectrum data on the basis of said autocorrelation and crosscorrelation data;

(iii) processing said auto-spectrum and cross-spectrum data so as to derive a plurality of weighting functions; and

(iv) filtering said reference signal in accordance with said weighting functions, and employing filtered versions of said reference signal to control the generation of said secondary sound waves, each of the weighting functions being associated with a corresponding one of said secondary sound waves to be generated.

12. A method as described in claim 11, wherein step (a) comprises detecting acoustic noise in the near-field of said primary noise source.

13. A method as described in claim 12, wherein step (b) comprises the excitation of a plurality of loudspeakers.

14. A method as described in claim 13, wherein step (c) comprises the detection of said far-field sound waves with a plurality of microphones disposed in the far-field of said primary noise source.

15. A method as described in claim 14, wherein said adapting step (d)(iv) comprises performing an inverse fast Fourier transformation of said weighting functions.