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Research Papers

Combined Feedforward–Feedback Active Control of Road Noise Inside a Vehicle Cabin

[+] Author and Article Information
Jie Duan, Mingfeng Li

Vibro-Acoustics and Sound
Quality Research Laboratory,
College of Engineering and Applied Science,
University of Cincinnati,
801 Engineering Research Center,
2901 Woodside Drive, P.O. Box 210018,
Cincinnati, OH 45221-0018

Teik C. Lim

Vibro-Acoustics and Sound
Quality Research Laboratory,
College of Engineering and Applied Science,
University of Cincinnati,
801 Engineering Research Center,
2901 Woodside Drive, P.O. Box 210018,
Cincinnati, OH 45221-0018
e-mail: teik.lim@uc.edu

Ming-Ran Lee, Wayne Vanhaaften, Takeshi Abe

Powertrain NVH R&D Department,
Research and Advanced Engineering Center,
Ford Motor Company,
Dearborn, MI 48124

Ming-Te Cheng

Powertrain NVH R&D Department,
Research and Advanced Engineering Center,
Ford Motor Company,
Dearborn, MI 48124

1Corresponding author.

Contributed by the Noise Control and Acoustics Division of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received April 22, 2013; final manuscript received May 11, 2014; published online June 12, 2014. Assoc. Editor: Dr. Corina Sandu.

J. Vib. Acoust 136(4), 041020 (Jun 12, 2014) (8 pages) Paper No: VIB-13-1124; doi: 10.1115/1.4027713 History: Received April 22, 2013; Revised May 11, 2014

Conventional active control of road noise inside a vehicle cabin generally uses a pure feedforward control system with the conventional filtered-x least mean square (FXLMS) algorithm. While it can yield satisfactory noise reduction when the reference signal is well correlated with the targeted noise, in practice, it is not always possible to obtain a reference signal that is highly coherent with a broadband response typically seen in road noise. To address this problem, an active noise control (ANC) system with a combined feedforward–feedback controller is proposed to improve the performance of attenuating road noise. To take full advantage of the feedforward control, a subband (SFXLMS) algorithm, which can achieve more noise attenuation over a broad frequency range, is used to replace the conventional FXLMS algorithm. Meanwhile, a feedback controller, based on internal model control (IMC) architecture, is introduced to reduce the road noise components that have strong response but are poorly correlated with the reference signals. The proposed combined feedforward–feedback ANC system has been demonstrated by a simulation model with six reference accelerometers, two control loudspeakers and one error microphone, using actual data measured from a test vehicle. Results show that the performance of the proposed combined controller is significantly better than using either a feedforward controller only or a feedback controller only, and is able to achieve about 4 dBA of overall sound pressure level reduction.

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References

Lueg, P., 1934, “Processing of Silencing Sound Oscillations,” U.S. Patent No. 2,043,416.
Kuo, S. M., and Morgan, D. R., 1996, Active Noise Control Systems: Algorithm and DSP Implementations, Wiley, New York.
Oswald, L. J., 1984, “Reduction of Diesel Engine Noise Inside Passenger Compartments Using Active, Adaptive Noise Control,” International Conference on Noise Control Engineering, Honolulu, HI, December 3–5, pp. 483–488.
Li, M., Sorosiak, E., Lim, T. C., Duan, J., Abe, T., Lee, M.-R., Cheng, M.-T., and Vanhaaften, W., 2009, “An Active Noise Control System for Tuning Steady-State and Transient Responses Within a Vehicle Compartment,” Noise Control Eng. J., 57(3), pp. 203–209. [CrossRef]
Duan, J., Li, M., Lim, T. C., Lee, M.-R., Vanhaaften, W., Cheng, M.-T., and Abe, T., 2009, “Comparative Study of Frequency Domain Filtered-x LMS Algorithms Applied To Vehicle Powertrain Noise Control,” Int. J. Veh. Noise Vib., 5(1/2), pp. 36–52. [CrossRef]
Duan, J., Li, M., Lim, T. C., Lee, M.-R., Vanhaaften, W., Cheng, M.-T., and Abe, T., 2011, “Active Control of Vehicle Transient Powertrain Noise Using a Twin-FXLMS Algorithm,” ASME J. Dyn. Syst. Meas. Control, 133(3), p. 034501. [CrossRef]
Smith, J. P., Burdisso, R. A., Fuller, C. R., and Gibson, R. G., 1996, “Active Control of Low-Frequency Broadband Jet Engine Exhaust Noise,” Noise Control Eng. J., 44(1), pp. 45–52. [CrossRef]
Guan, Y. H., Lim, T. C., and Shepard, Jr., W. S., 2005, “Experimental Study on Active Vibration Control of a Gearbox System,” J. Sound Vib., 282(3–5), pp. 713–733. [CrossRef]
Li, M., Lim, T. C., Shepard, Jr., W. S., and Guan, Y. H., 2005, “Experimental Active Vibration Control of Gear Mesh Harmonics in a Power Recirculation Gearbox System Using a Piezoelectric Stack Actuator,” Smart Mater. Struct., 14(5), pp. 917–927. [CrossRef]
Lauchle, G., MacGillivray, J. R., and Swanson, D., 1997, “Active Control of Axial-Flow Fan Noise,” J. Acoust. Soc. Am., 101(1), pp. 341–349. [CrossRef]
Gee, K. L., and Sommerfeldt, S. D., 2004, “Application of Theoretical Modeling to Multichannel Active Control of Cooling Fan Noise,” J. Acoust. Soc. Am., 115(1), pp. 228–236. [CrossRef] [PubMed]
Milani, A. A., Panahi, I. M. S., and Loizou, P. C., 2009, “A New Delayless Subband Adaptive Filtering Algorithm for Active Noise Control Systems,” IEEE Trans. Audio, Speech Lang. Process., 15(5), pp. 1038–1045. [CrossRef]
Li, M., Rudd, B. W., Lim, T. C., and Lee, J.-H., 2010, “Active Noise Control of Simulated Magnetic Resonance Imaging Response,” Noise Control Eng. J., 58(1), pp. 35–42. [CrossRef]
Sutton, T. J., Elliott, S. J., McDonald, A. M., and Saunders, T. J., 1994, “Active Control of Road Noise Inside Vehicles,” Noise Control Eng. J., 42(4), pp. 137–147. [CrossRef]
Bernhard, R., 1995, “Active Control of Road Noise Inside Automobiles,” International Symposium on Active Control of Sound and Vibration, (INTER - NOISE 95) Newport Beach, CA, July 6–8, pp. 21–32.
Dehandschutter, W., and Sas, P., 1998, “Active Control of Structure-Borne Road Noise Using Vibration Actuators,” ASME J. Vib. Acoust., 120(2), pp. 517–523. [CrossRef]
Oh, S., Kim, H., and Park, Y., 2002, “Active Control of Road Booming Noise in Automotive Interiors,” J. Acoust. Soc. Am., 111(1), pp. 180–188. [CrossRef] [PubMed]
Park, C. G., Fuller, C. R., and Kidner, M., 2002, “Evaluation and Demonstration of Advanced Active Noise Control in a Passenger Automobile,” International Symposium on Active Control of Sound and Vibration (ACTIVE 2002), Southampton, UK, July 15–17, pp. 275–284.
Park, C. G., Fuller, C. R., and Long, J. T., 2004, “On-Road Demonstration of Noise Control in a Passenger Automobile. Part 2,” International Symposium on Active Control of Sound and Vibration (ACTIVE 04), Williamsburg, VA, September 20–22.
Morari, M., and Zafiriou, E., 1989, Robust Process Control, Prentice-Hall, Englewood Cliffs, NJ.
Bendat, J. S., and Piersol, A. G., 1980, Engineering Applications of Correlation and Spectral Analysis, Wiley, New York.
Vetterli, M., 1987, “A Theory of Multirate Filter Banks,” IEEE Trans. Acoust., Speech, Signal Process., 35(3), pp. 356–372. [CrossRef]
Vaidyanathan, P. P., 1990, “Multirate Digital Filters, Filter Banks, Polyphase Networks, and Applications: A Tutorial,” Proc. IEEE, 78(1), pp. 56–93. [CrossRef]
Shynk, J., 1992, “Frequency-Domain and Multirate Adaptive Filtering,” IEEE Signal Process. Mag., 9(1), pp. 14–37. [CrossRef]
Morgan, D. R., and Thi, J. C., 1995, “A Delayless Subband Adaptive Filter Architecture,” IEEE Trans. Signal Process., 43(8), pp. 1819–1830. [CrossRef]
Park, S. J., Yun, J. H., Park, Y. C., and Youn, D. H., 2001, “A Delayless Subband Active Noise Control System for Wideband Noise Control,” IEEE Trans. Speech Audio Process., 9(8), pp. 892–899. [CrossRef]
Lee, K.-A., Gan, W.-S., and Kuo, S. M., 2009, Subband Adaptive Filtering: Theory and Implementation, Wiley, Chichester, UK.
Huo, J., Nordholm, S., and Zang, Z., 2001, “New Weight Transform Schemes for Delayless Subband Adaptive Filtering,” IEEE Global Telecommunications Conference (GLOBECOM '01), San Antonio, TX, November 25–29, pp. 197–201. [CrossRef]
Larson, L., de Haan, J., and Claesson, I., 2002, “A New Subband Weight Transform for Delayless Subband Adaptive Filtering Structures,” IEEE 10th Digital Signal Processing Workshop and 2nd Signal Processing Education Workshop, Pine Mountain, GA, October 13–16, pp. 201–206. [CrossRef]
MathWorks, 1994-2014, “Matlab/Simulink R2007b,” The Mathworks, Inc., Natick, MA, [CrossRef]

Figures

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Fig. 1

Relative power spectral density of the top ten largest uncorrelated principle components

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Fig. 2

Multiple coherence function and potential maximum noise reduction in decibels of the best set of six accelerometers, along with sound pressure level of a typical road noise. (Keys: solid line —, sound pressure level of typical road noise, labeled as the left y-axis; dashed - - - -, multiple-reference function, labeled as the right y-axis; dotted · · · · , potential maximum noise reduction; and shadow area , frequency range that has high SPL of road noise but low multiple coherence value.)

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Fig. 3

Block diagram of the proposed combined feedforward–feedback active road noise control system

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Fig. 4

Feedforward control part of the proposed active road noise control system based on SFXLMS algorithm

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Fig. 5

Feedback control part of the proposed active road noise control system based on IMC architecture with FXLMS algorithm

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Fig. 6

IRF and FRF of the measured secondary path: (a) IRF and (b) FRF

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Fig. 7

Comparison of the feedforward control results between the SFXLMS algorithm and the conventional FXLMS algorithm. (Keys: solid line —, baseline road noise response; dashed line - - - -, SFXLMS algorithm; and dotted line · · · · , conventional FXLMS algorithm.)

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Fig. 8

Comparison between the feedforward control result by using the SFXLMS algorithm and the potential maximum noise reduction. (Keys: black solid line —, baseline road noise response; dashed line - - - -, SFXLMS algorithm; and gray solid line , potential maximum noise reduction.)

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Fig. 9

Control result of the feedback control system alone. (Keys: solid line —, baseline road noise response; and dotted line · · · · , feedback control system alone.)

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Fig. 10

Comparison of the control results between the proposed combined feedforward–feedback control system and the feedforward control system alone with the SFXLMS algorithm. (Keys: solid line —, baseline road noise response; dashed line - - - -, combined feedforward–feedback control system; and dotted line · · · · , feedforward control system alone with the SFXLMS algorithm.)

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