Special Issue "Application of Active Noise and Vibration Control"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: 30 September 2022 | Viewed by 2395

Special Issue Editors

Dr. Ming Wu
E-Mail Website
Guest Editor
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
Interests: active noise control; sound field control
Dr. Hongling Sun
E-Mail Website
Guest Editor
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
Interests: active noise control; active vibration control; active structural acoustic control
Dr. Yijing Chu
E-Mail Website
Guest Editor
State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China
Interests: acoustic signal processing; active noise control; sound field synthesis

Special Issue Information

Dear Colleagues,

Active control technologies have a variety of applications in both industrial machinery and consumer products. Active noise and vibration control systems use a number of actuators to generate anti-sound or anti-vibration, thereby attenuating the unwanted sound or vibration propagation. Advances in active control have resulted in much more effective methods for reducing low-frequency noise and vibration than traditional passive control methods. Despite considerable efforts devoted to the application of active noise and vibration control, there still exist many challenging problems in this field.

We are inviting interested authors to submit their manuscripts to this Special Issue “Application of Active Noise and Vibration Control”. This Special Issue aims to cover a wide range of hotspot topics, including but not limited to active noise-canceling headphones, active noise control in ducts, active noise control for headrests, active noise control in cabins, active sound barriers, active control of scattered radiation, active vibration isolation, active vibration absorbers, and active structural acoustic control. We welcome research articles as well as review articles on the significant progress of active noise and vibration control applications.

Dr. Ming Wu
Dr. Hongling Sun
Dr. Yijing Chu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • active noise control application
  • active vibration control application
  • active structural acoustic control application
  • modelling and simulation of ANC and AVC systems
  • experimental and implementation techniques for ANC and AVC
  • signal processing algorithms for ANC and AVC

Published Papers (4 papers)

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Research

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Article
Study on Band Gap and Sound Insulation Characteristics of an Adjustable Helmholtz Resonator
Appl. Sci. 2022, 12(9), 4512; https://doi.org/10.3390/app12094512 - 29 Apr 2022
Viewed by 253
Abstract
To solve the problem of low-frequency noise in the environment, a Helmholtz-type phononic crystal with adjustable cavity structure and labyrinth tubes was designed. The unique design of the labyrinth tube greatly increases the length of the tube, improving low-frequency sound insulation performance, and [...] Read more.
To solve the problem of low-frequency noise in the environment, a Helmholtz-type phononic crystal with adjustable cavity structure and labyrinth tubes was designed. The unique design of the labyrinth tube greatly increases the length of the tube, improving low-frequency sound insulation performance, and the design of adjustable cavity structure realizes active regulation of the band structure. The band gap structure and sound insulation characteristics were analyzed by finite element method (FEM) and electro-mechanical-acoustic analogy method. The result shows that, firstly, the structure can generate two complete band gaps in the low-frequency range of 0–500 Hz, and there is a low-frequency band gap with lower limit of 40 Hz. Meanwhile, the structure has excellent sound insulation performance in the range of 0–500 Hz. Secondly, multiple resonant band gaps can be connected by adjusting the structural layout of the cavity through the telescopic screw, so as to achieve the purpose of widening the band gap and active control of environmental noise. Finally, in the periodic arrangement design of the structure, reducing the spacing between cells can effectively increase the bandwidth of band gaps. This design broadens the design idea of phononic crystal and provides a new method to solve the problem of low-frequency noise control. Full article
(This article belongs to the Special Issue Application of Active Noise and Vibration Control)
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Article
Feedback Controller Optimization for Active Noise Control Headphones Considering Frequency Response Mismatch between Microphone and Human Ear
Appl. Sci. 2022, 12(3), 977; https://doi.org/10.3390/app12030977 - 18 Jan 2022
Cited by 3 | Viewed by 358
Abstract
This paper presents an investigation on the feedback controller design for active noise control headphones under the condition that the frequency responses of the primary and secondary paths corresponding to the feedback microphone do not match to the ones corresponding to the human [...] Read more.
This paper presents an investigation on the feedback controller design for active noise control headphones under the condition that the frequency responses of the primary and secondary paths corresponding to the feedback microphone do not match to the ones corresponding to the human ear. The influence of such mismatches on the performance are analyzed first, and then an optimization method is proposed to enhance the comprehensive performance at the human ear. In the proposed method, the feedback loop is constructed directly with the feedback microphone and any extra filters of the virtual sensing techniques are avoided. Cascade biquad filters are used as the controller, which is in accordance with current applications. A differential evolution algorithm was used to solve the proposed optimization problem, and the optimal parameters of the controller were found. It has been shown by the experimental results that, at the dummy head ear position, good noise reduction performance could be obtained at the low frequency band with limited noise enhancement for high frequencies, even if large frequency response mismatches exist. Full article
(This article belongs to the Special Issue Application of Active Noise and Vibration Control)
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Article
Multi-Mode Active Suspension Control Based on a Genetic K-Means Clustering Linear Quadratic Algorithm
Appl. Sci. 2021, 11(21), 10493; https://doi.org/10.3390/app112110493 - 08 Nov 2021
Viewed by 482
Abstract
The traditional Linear quadratic regulator (LQR) control algorithm depends too much on expert experience during the selection of weighting coefficients. To solve this problem, we proposed a Genetic K-means clustering Linear quadratic (GKL) algorithm. Firstly, a 2-DOF 1/4 vehicle model and road input [...] Read more.
The traditional Linear quadratic regulator (LQR) control algorithm depends too much on expert experience during the selection of weighting coefficients. To solve this problem, we proposed a Genetic K-means clustering Linear quadratic (GKL) algorithm. Firstly, a 2-DOF 1/4 vehicle model and road input model are established. The weights of an LQR controller are optimized using a genetic algorithm. Then, a possible weighting space is constructed based on this optimal solution. Random weighting coefficients of each performance index are generated in this space. Next, LQR control for the 1/4 vehicle model is performed, and the simulation data are recorded automatically, with these random weighting values, different road classes, and driving speed. A machine learning dataset is built from these simulations. Finally, a K-means clustering algorithm is used to classify the LQR control active suspension into three performance modes: safety mode, comprehensive mode, and comfort mode. The optimal weighting matrix of each performance mode is determined to satisfy requirements for different types of drivers. The results show that the new GKL algorithm not only improves the suspension control effect but also realizes different performance modes. It can better adapt to the changes in driving conditions and drivers. Full article
(This article belongs to the Special Issue Application of Active Noise and Vibration Control)
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Review

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Review
Some Practical Acoustic Design and Typical Control Strategies for Multichannel Active Noise Control
Appl. Sci. 2022, 12(4), 2244; https://doi.org/10.3390/app12042244 - 21 Feb 2022
Viewed by 372
Abstract
Active noise control (ANC) systems usually involve a large number of loudspeakers and error microphones in order to achieve noise reduction over an extended region of space. Although fundamentals of ANC theory and principles of ANC methods have been well-established over the past [...] Read more.
Active noise control (ANC) systems usually involve a large number of loudspeakers and error microphones in order to achieve noise reduction over an extended region of space. Although fundamentals of ANC theory and principles of ANC methods have been well-established over the past 40 years, applications of this technology are facing new challenges. A larger quiet zone with better noise reduction performance is always desirable in a variety of real-life scenarios. This paper presents several important factors that affect the performance of multichannel ANC systems in some popular applications such as windows with natural ventilation and quiet-zone around heads. The factors affecting acoustic design include the reflection of a baffle plate, arrangement of error sensors in open areas, and so on. In addition, different control strategies are compared and analyzed, including centralized, decentralized, and distributed strategies. All these strategies are discussed from the signal processing side, which should be considered after a proper acoustic design. One of the important aims of this paper is to provide practical guidance for acoustic design and discuss several typical control strategies for multichannel ANC systems. Full article
(This article belongs to the Special Issue Application of Active Noise and Vibration Control)
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