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An Adaptive algorithm for Active Vibration Control of Parameter-Varying Systems With a New Online Secondary Path Estimation Method

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IEEE SIGNAL PROCESSING LETTERS 2020年 27卷 705-709页

作者： Zheng, Hongbo Yang, Dequan Xie, Xiling Zhang, Zhiyi Shanghai Jiao Tong Univ State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China

An adaptive algorithm is proposed on the basis of the filtered-x least mean square (fxlms) algorithm for active control of parameter-varying vibration systems. The adaptive algorithm utilizes an auxiliary filter to improve online estimation of the secondary path. The secondary path is represented by the transfer functions of the auxiliary filter and the controller, and its finite impulse response (FIR) model is estimated with the LMS algorithm. Convergence analysis of the adaptive algorithm is presented as well. Both simulation and experiment were conducted to evaluate the effectiveness of the adaptive algorithm. The results have demonstrated that the adaptive algorithm is effective even in case of an abrupt change in the parameters of the secondary path.

关键词： Finite impulse response filters Signal processing algorithms Filtering algorithms Convergence Estimation Adaptation models Active vibration control fxlms algorithm auxiliary filter new online secondary path estimation method

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Bone conduction microphone measures in the external auditory canal: An application for implementing cross-talk cancellation for bone-conducted sound

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ACOUSTICAL SCIENCE AND TECHNOLOGY 2019年第5期40卷 356-359页

作者： Irwansyah Usagawa, Tsuyoshi Kumamoto Univ Grad Sch Sci & Technol Chuo Ku 2-39-1 Kurokami Kumamoto 8608555 Japan

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Adaptive filtering with averaging-based algorithm for feedforward active noise control systems

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IEEE SIGNAL PROCESSING LETTERS 2004年第6期11卷 557-560页

作者： Akhtar, MT Abe, M Kawamata, M Tohoku Univ Grad Sch Engn Sendai Miyagi 9808579 Japan

This letter proposes an adaptive filtering with averaging-based algorithm for active noise control (ANC) systems. This algorithm uses a similar structure as that of the fxlms-based ANC system. The proposed algorithm, called Filtered-x Adaptive Filtering with Averaging (FxAFA) algorithm, uses averages of both data and correction terms to find the updated values of the tap weights of the ANC controller. The computer simulations are conducted for single-channel feedforward ANC systems. It is shown that the proposed algorithm gives fast convergence as compared with the fxlms algorithm and achieves better performance in the presence of the measurement noise. The comparison with the FxRLS algorithm shows that the proposed FxAFA algorithm is a better choice for low computational complexity and stable performance.

关键词： active noise control adaptive filters averaging fxlms algorithm

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Design of an Active Noise Controller for Reduction of Tire/Road Interaction Noise in Environmentally Friendly Vehicles 21

Design of an Active Noise Controller for Reduction of Tire/R...

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Conference on Signal Processing: algorithms, Architectures, Arrangements, and Applications (SPA)

作者： Sahib, Mouayad A. Streif, Stefan Univ Informat Technol & Commun Media Technol Engn Baghdad Iraq Tech Univ Chemnitz Automat Control & Syst Dynam Lab Chemnitz Germany

ISBN: (纸本)9788362065301

Noise pollution, in particular road traffic noise, is a growing concern. In general, noise reduction can be achieved at the source of noise emission, or by using anti-propagation or insulation measures. Measures at source are often the cheapest approach. This paper contributes to the development of enhanced environmentally-friendly vehicles by proposing an effective tire/road interaction noise mitigation method based on Active Noise Control (ANC). ANC methods can reduce the noise directly at the tires/road contact points by installing actuators (i.e. loudspeakers) inside the vehicle fenders. The proposed method will also reduce the noise propagating inside the vehicle and will hence eliminate the needs for passive noise reduction measures. As a result, the weight of the vehicles can significantly be reduced, thus requiring less resources for production and leading to an efficient fuel consumption during operation.

关键词： Active noise control (ANC) fxlms algorithm transport noise nonlinear systems

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LMS algorithmIC VARIANTS IN ACTIVE NOISE AND VIBRATION CONTROL 22

LMS ALGORITHMIC VARIANTS IN ACTIVE NOISE AND VIBRATION CONTR...

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22nd European Signal Processing Conference (EUSIPCO)

作者： Rupp, Markus Hausberg, Fabian Vienna Univ Technol Inst Telecommun Gusshausstr 25-389 A-1040 Vienna Austria Audi AG I EF 35 Engine Gearbox Mountings D-85045 Ingolstadt Germany

ISBN: (纸本)9780992862619

In this article we provide analyses of two low complexity LMS algorithmic variants as they typically appear in the context of fxlms for active noise or vibration control in which the reference signal is not obtained by sensors but internally generated by the known engine speed. In particular we show that the algorithm with real valued error is robust and exhibits the same steady state quality as the original complex-valued LMS algorithm but at the expense of only achieving half the learning speed while its counterpart with real-valued regression vector behaves only equivalently in the statistical sense.

关键词： fxlms algorithm error bounds l(2)-stability robustness mean-square-convergence

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SELECTIVE VIRTUAL SENSING TECHNIQUE FOR MULTI-CHANNEL FEEDFORWARD ACTIVE NOISE CONTROL SYSTEMS 44

SELECTIVE VIRTUAL SENSING TECHNIQUE FOR MULTI-CHANNEL FEEDFO...

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44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Shi, Chuang Xie, Rong Jiang, Nan Li, Huiyong Kajikawa, Yoshinobu Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Sichuan Peoples R China Kansai Univ Fac Engn Sci Osaka Japan

ISBN: (纸本)9781479981311

The virtual sensing technique allows the active noise control (ANC) system to work with error microphones that are placed far from the desired zone of quietness (ZoQ). Conventionally, a training stage is required to obtain the auxiliary filters with the temporary error microphones placed in the ZoQ. When the characteristics of the primary noise changes, the auxiliary filters have to be retrained. As a result, the conventional virtual sensing technique can only be used when the frequency band of the primary noise remains unchanged. In order to solve this limitation, this paper proposes a selective virtual sensing technique for the multi-channel feedforward ANC system. The selective virtual sensing technique obtains a bank of auxiliary filters in the subband structure. Based on the frequency-band-matching mechanism, a linear combination of the auxiliary filters is calculated and used in the realtime control stage. Experimental results show that the selective virtual sensing technique achieves better noise reduction performance than the conventional virtual sensing technique when the frequency band of the primary noise fluctuates.

关键词： Multi-channel active noise control virtual sensing technique fxlms algorithm adaptive filtering

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Systematic procedure for Development of Active Noise Control (ANC) System 2

Systematic procedure for Development of Active Noise Control...

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2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT)

作者： Veena, S. Lokesha, H. Madhulika, K. Naidu, K. Jwala Vaishnavi Sajida, K. A. CSIR Natl Aerosp Labs Bengaluru India Amrita Inst Technol Bengaluru India

ISBN: (纸本)9781509037049

Active Noise Control (ANC) is a technology for reducing low frequency noise. It finds applications in aerospace, automobile, Industry and Medical arena. Literature has a wide variety of adaptive signal processing algorithms for addressing various ANC problems. However, while designing practical systems it is very much essential to tune the adaptive filter based on the environment to achieve good performance. This paper proposes to develop a systematic procedure for practical ANC system design. To demonstrate the success of this procedure, ANC system development and its evaluation for a practical application is taken as a case study.

关键词： Active Noise Control Adaptive Filter fxlms algorithm Real-Time System Helmet Anc

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A new online secondary path modelling for feedforward ANC systems

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International Journal of Electronics Letters 2013年第4期1卷 179-188页

作者： Kottayi, Sivadasan Narayanan, N.K. Department of Electronics & Instrumentation Engineering Technology Yanbu Industrial College P.O. Box 30436 Yanbu Yanbu Al-Sinaiyah Saudi Arabia Department of Information Technology Kannur University Campus P.O. Mangattuparamba Kannur 670 567 Kerala India

Adaptive filter-based feedforward active noise control (ANC) systems are generally realised in system identification configuration. The secondary path of such ANC systems contains numerous subsystems, whose transfer function needs to be compensated for the ANC systems to work satisfactorily. Different methods are available for online modelling of secondary path and realising ANC system using fxlms algorithm. Simulation of a few such kinds of existing systems is done using white Gaussian noise (WGN) as primary noise and comparing their performances. A new ANC system with online secondary path modelling is proposed and analysed. Simulation study revealed that the proposed ANC system shows superior performance compared to the existing systems in terms of average power reduction of residual noise and converging time when WGN as primary signal. © 2013, © Taylor & Francis.

关键词： active noise cancellation active noise control adaptive systems digital signal processing applications fxlms algorithm

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On Adaptation of Cancelation Path Modeling Filter in Single-Channel Feedback-Type Adaptive Active Noise Control Systems 63

On Adaptation of Cancelation Path Modeling Filter in Single-...

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63rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Akhtar, Muhammad Tahir Lim, Markus V. S. Diniz, Paulo S. R. Nazarbayev Univ Sch Engn & Digital Sci Kabanbay Batyr Ave 53 Nur Sultan Kazakhstan Univ Fed Rio de Janeiro COPPE POB 68504 BR-21941972 Rio De Janeiro RJ Brazil Univ Fed Rio de Janeiro DEL Poli UFRJ POB 68504 BR-21941972 Rio De Janeiro RJ Brazil

ISBN: (纸本)9781728180588

This paper addresses identification of the cancelation path (CP) during the online operation of the feedback-type active noise control (ANC) systems. In the feedback-type ANC, a reference microphone cannot be installed to pickup the reference signal for the (adaptive) ANC filter. Therefore, an appropriate reference signal must be electronically generated. This requires availability of a good estimate of the CP. Furthermore, estimation accuracy of CP affects the stability and noise reduction of the ANC systems. The method proposed in this paper develops upon a previous work where two adaptive filters were used, one as ANC filter and the other as a cancelation path modeling filter (CPMF). The proposed method essentially comprises a similar structure as that of the previous method. The key objective here is to improve upon the slow convergence of CPMF. This in turn improves the noise reduction performance as demonstrated by numerical results presented in this paper.

关键词： Feedback-type ANC fxlms algorithm cancelation path modeling modeling signal

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Multi-Reference Time-Frequency Active Control of Vehicle Interior Road Noise 1

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34th IMAC Conference and Exposition on Structural Dynamics

作者： Feng, Tao Sun, Guohua Li, Mingfeng Lim, Teik C. Univ Cincinnati Coll Engn & Appl Sci Dept Mech & Mat Engn Vibro Acoust & Sound Qual Res Lab 598 Rhodes HallPOB 210072 Cincinnati OH 45221 USA

ISBN: (数字)9783319299563

ISBN: (纸本)9783319299563;9783319299556

Active noise control (ANC) technique has been successfully implemented by various automotive manufacturers to interior powertrain noise cancellation and/or sound management. For the powertrain noise control, the ANC system only requires one reference signal (typically using tachometer signal) due to the fact that the powertrain response is functionally related to the engine rotational speed. Instead, the multi-reference ANC system is often required for the road noise control since the multiple-coherence between the reference accelerometer signals and the target noise must be guaranteed to yield an acceptable control performance. However, the adoption of traditional multi-reference filtered-x least mean square (fxlms) algorithm for road noise ANC often leads to a large computational burden and slow convergence rate due to the long length of adaptive filter and a huge dynamic range of the filtered reference signal. To address these problems, road noise ANC systems configured with the time-frequency domain fxlms (TF-fxlms) algorithm and subband fxlms (Sfxlms) algorithm are developed, where the adaptive algorithm either calculates the gradient estimate and filtered reference signal in the frequency domain or subband frequency domain to reduce the computational requirement and also updates the control signals in the time domain to avoid delay in the reference path. Then, a comprehensive computational complexity analysis is conducted to exhibit the computational cost for different algorithms. The effectiveness of the different algorithms will be demonstrated through an ANC system with eight accelerometers, one secondary loudspeaker, and one error microphone in the driver side to control actual road noise.

关键词： Active noise control Road noise fxlms algorithm Time-frequency fxlms algorithm Subband fxlms algorithm

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