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Friday, July 31, 2020 | History

2 edition of Optimization of acoustic source strenght in the problems of active noise control found in the catalog.

Optimization of acoustic source strenght in the problems of active noise control

J. Lončarić

Optimization of acoustic source strenght in the problems of active noise control

by J. Lončarić

  • 273 Want to read
  • 16 Currently reading

Published by Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, National Technical Information Service, distributor in Hampton, VA, Springfield, VA .
Written in English

    Subjects:
  • Noise control -- Mathematical models.,
  • Waves -- Mathematical models.

  • Edition Notes

    Other titlesICASE
    StatementJ. Loncaric, S.V. Tsynkov.
    SeriesICASE report -- no. 2002-11, NASA/CR -- 2002-211636, NASA contractor report -- NASA CR-2002-211636.
    ContributionsTsynkov, S. V., Institute for Computer Applications in Science and Engineering., Langley Research Center.
    Classifications
    LC ClassificationsCR2002 .W211636
    The Physical Object
    Pagination39 p. :
    Number of Pages39
    ID Numbers
    Open LibraryOL21494999M

    INTEX-TERMS: Active Noise Control, Filtered-X LMS algorithm, Filtered-U recursive LMS algorithm, Output whitening method, Matlab feedback 1. INTRODUCTION Acoustic Noise Control raditionally t involves passive methods such as enclosures, barriers and silencers to attenuate noise. These techniques use either the concept ofFile Size: KB. Active noise control: a tutorial review Abstract: Active noise control (ANC) is achieved by introducing a cancelling "antinoise" wave through an appropriate array of secondary sources. These secondary sources are interconnected through an electronic system using a specific signal processing algorithm for the particular cancellation by:

    Solutions to Commonly Experienced Acoustic Noise Problems In today’s built environment noise problems can range from being a mild nuisance to a serious intrusion in another space. Acoustic problems in schools may cause difficulties with teaching, as students can’t always hear what is being said and this affects concentration (and therefore. Emphasizes the practical aspects of active noise control (ANC) systems using a signal processing and DSP implementation perspective. The principles of adaptive signal processing are combined with experimental results and practical issues including the application of these structures and algorithms using C and assembly programs on DSP chips TMSC25 and TMSC30 from/5(8).

    The noise will be perceived as a problem when the noise is so high as to be a nuisance to the receiver. The severity of the problem depends on the strength of the noise source (such as heavy or light traffic) or the length of the path, that is, how large is the separation between the noise source and the receiver. oped in this thesis can be applied to other active cancellation problems. Vibration control is an example of a non-acoustic problem to which our results can be applied. Outline of the Thesis Chapter 2 motivates our study of active noise cancellation and presents a summary of the previous work done in this Size: 7MB.


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Optimization of acoustic source strenght in the problems of active noise control by J. Lončarić Download PDF EPUB FB2

Optimization of Acoustic Source Strength in the Problems of Active Noise Control Article in SIAM Journal on Applied Mathematics 63(4) January with 30 Reads How we measure 'reads'. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We analyze the problem of suppressing the unwanted component of a time-harmonic acoustic field (noise) on a predetermined region of interest.

The suppression is rendered by active means, i.e., by introducing the additional acoustic sources called controls that generate the appropriate anti-sound.

In this study, to reduce secondary sound source pollution in the reference signal of active noise control (ANC), a novel ANC algorithm, based on signal reconstruction, is proposed for vehicle. acoustic eld (noise) on a predetermined region of interest. The suppression is ren-dered by active means, i.e., by introducing the additional acoustic sources called controls that generate the appropriate anti-sound.

Previously, we have obtained general solutions for active controls in both continuous and discrete formulation of the problem. Understanding Active Noise Cancellation Provides a concise introduction to the fundamentals and applications of active control of vibration and sound for the non-expert.

It is also a useful quick reference for the specialist engineer. The book emphasises the practical applications of technology, and complex control algorithms and structures are only discussed to the extent that they. The concept of active noise control that we will be discussing implies that the component p − is to be suppressed on Ω by introducing additional sources of sound g=g(x) exterior with respect to Ω, supp g⊂Ω 1, so that the total acoustic field p ̃ = p ̃ (x) be now governed by the equation (cf.

by: The noise acoustic control in the interior of a diesel engine generator room model is studied and optimized. The finite element modelling and discretization of the engine room is carried out and the noise control is achieved using global active control of sound.

The Genetic algorithm (GA) is used to find the optimized location of secondary sources to minimize the sound pressure level at Author: T. Ramachandran, M.C. Lenin Babu. Treating the active control of both sound and vibration in a unified way, this second edition of Active Control of Noise and Vibration continues to combine coverage of fundamental principles with the most recent theoretical and practical developments.

What’s New in This Edition. Revised, expanded, and updated information in every chapter. Low noise constructions receive more and more attention in highly industrialized countries.

Consequently, decrease of noise radiation challenges a growing community of engineers. One of the most efficient techniques for finding quiet structures consists in numerical optimization.

Herein, we consider structural-acoustic optimization understood as an (iterative) minimum search of a specified Cited by: The book covers a lot of topics useful for active control of noise and vibration.

Totally suggested for people with some background in acoustics. I bought it from from Students Textbooks and despite there was a problem with FedEx and the book got lost, they re-sent me another copy by DHL and this time the parcel arrived without any by: Study of the acoustic feedback problem of active noise control by using the l 1 and l 2 vector space optimization approaches Mingsian R.

Bai and Tianyau Wu Department of Mechanical Engineering, Chiao-Tung University, Ta-Hsueh Road, Hsin-Chu, Taiwan. Keywords— Active noise control, active vibration control, adap-tive noise cancellation, adaptive systems, digital signal processing (DSP) applications.

INTRODUCTION A. Overview Acoustic noise problems become more and more evident as increased numbers of industrial equipment such as engines, blowers, fans, transformers, and compressors are. Acoustic Noise Control and Analysis Plan for Human Research Facility Intermittent Noise Source Acoustic Reference ACOUSTIC NOISE LIMITS COMPARISON BETWEEN PASSIVE AND ACTIVE TECHNIQUES VEMs RECOMMENDED FOR SPACE APPLICATIONS LS Passive noise control is sound reduction by noise-isolating materials such as insulation, sound-absorbing tiles, or a muffler rather than a power source.

Active noise canceling is best suited for low frequencies. For higher frequencies, the spacing requirements for free space and zone of silence techniques become prohibitive. In acoustic cavity. The noise signals emitted can be canceled by using a well controlled sound source, this is called active noise control or active noise cancellation (ANC).

An ANC system works by analyzing the noise and then generating a sound signal with the opposite phase. Active noise control (ANC) is rapidly becoming the most effective way to reduce noises that can otherwise be very difficult and expensive to control.

ANC is achieved by introducing a canceling "anti-noise" wave through an appropriate array of secondary sources. When applied accurately, ANC can provide effective solutions to noise-related problems in a broad range of areas, including.

Active noise control: a review of the field. Gordon RT(1), Vining WD. Author information: (1)Chubb & Son Inc., Tulsa, OK Active noise control (ANC) is the application of the principle of the superposition of waves to noise attenuation by: Active Noise Control Systems: Algorithms and DSP Implementations (Wiley Series in Telecommunications and Signal Processing Book 31) - Kindle edition by Kuo, Sen M., Morgan, Dennis R.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Active Noise Control Systems: Algorithms and 5/5(4). This study attempts to explore the acoustic feedback problem that is frequently encountered in feedforward active noise control (ANC) structure from the standpoint of control theories.

The analysis is carried out on the basis of the Youla’s parametrization and the l1-norm and l2-norm vector space optimization. The ANC problem is formulated as a model matching procedure and is solved via Cited by: 6.

Keywords: Active control, Applicat ions I-INCE Classification of Subjects Number(s):1. INTRODUCTION Active noise control (ANC) is a method for reducing existing noise via the introduction of controllable secondary sources to affect generation, radiation, transmission, and reception of the original primary noise source.

Acoustics and Noise Control provides a detailed and comprehensive introduction to the principles and practice of acoustics and noise control. Since the last edition was published in there have been many changes and additions to standards, laws and regulations, codes of practice relating to noise, and in noise measurement techniques and noise control technology so this new edition has 4/5(9).McGraw-Hill, New York, and (,).

CONCLUSION Boundary-element-method-based optimization techniques have been developed in this study to investigate noise control problems. The methods prove to be effective in solving the optimization problems for active noise control of harmonic sound fields in three-dimensional by: adaptive signal processing skills to active noise control.

This book provides in a simple way the active noise control field and its associated problems. As the book provides only required amount of acoustical details and explains the filtered LMS algorithm very clearly unlike other books, for a beginer it is a very good book.