NEX-LMS: A novel adaptive control scheme for harmonic sound quality control

Oliveira, L.; Stallaert, Bert; Janssens, Karl; Auweraer, Herman Van der; Sas, Paul; Desmet, Wim

doi:10.1016/j.ymssp.2010.01.004

Cited by 47 publications

(28 citation statements)

References 27 publications

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“…Thus, the target frequency vector can be expressed as f10, 15,20,30,40,45,50,75 Hzg. The equalization parameters for S1 are set to be f1, 0, 0.4, 0, 1.5, 0, 0.4, 0g, i.e.…”

Section: Test-bedmentioning

confidence: 99%

“…Gonzalez et al 16 proposed the common-error line spectral reshaping algorithm for less computational complexity and overshoot, and a multi-channel extension of such algorithm was implemented inside a wooden listening room. De Oliveira et al 20 proposed a line-spectral reshaping algorithm called NEX-LMS algorithm for ASQC, and the experimental validation was performed with the aid of a vehicle mockup excited by engine noise.…”

Section: Introductionmentioning

confidence: 99%

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Fast multiline spectral reshaping algorithm for active vibration control

Liu

Zhang

et al. 2019

Journal of Low Frequency Noise, Vibration and Active Control

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Multiline spectral vibration (or noise) is very common in rotating machinery like motor, gearbox, compressor, propeller, etc. Active reshaping of these vibrations is one of the most important branches for active vibration control, which may find application in fields of sound quality control, psychoacoustics, military camouflage, etc. The traditional filteredreference LMS is the most popular structure for multiline spectral reshaping control. However, with the increase of spectral lines, vibration sources and observation points (feedback channels), the traditional structure will have extremely heavy computational complexity, especially for the system whose dynamic of secondary path is complex, since it requires two long filters for every single spectral line and secondary path to adjust the reference signals. In this study, we propose a fast-multiline spectrum reshaping algorithm for active vibration control. We first construct an equivalent system of the traditional multiline spectrum reshaping algorithm by introducing two extra control branches, which is able to improve the convergence property of the system. Then, we generate a group of pre-phase-scheduled reference signals using the phase information at certain frequencies of the secondary paths instead of using filters. Afterwards, we conduct a theoretical analysis of computational complexity of multiline spectrum reshaping and fast multiline spectrum reshaping algorithms. Finally, we carried out two case studies based on the FEMilS test-bed to verify the effectiveness of the proposed algorithm. The results show that the proposed algorithm performs an accurate residual vibration control with uniformed convergence speed and reduced computational complexity.

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“…Thus, the target frequency vector can be expressed as f10, 15,20,30,40,45,50,75 Hzg. The equalization parameters for S1 are set to be f1, 0, 0.4, 0, 1.5, 0, 0.4, 0g, i.e.…”

Section: Test-bedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast multiline spectral reshaping algorithm for active vibration control

Liu

Zhang

et al. 2019

Journal of Low Frequency Noise, Vibration and Active Control

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show abstract

“…The reader is referred to Alkhatib and Golnaraghi (2003), De Oliveira et al (2009Oliveira et al ( , 2010, Elliott and Sutton (1996), Lee and Halim (2004), and Okumura et al (2008) for the typical examples of the feedforward controllers for active vibration suppression and noise cancellation. The main advantage of the feedforward controller is the high bandwidth capability; however, it should be noted that the feedforward controller algorithms generally need high amount of real-time computations for generation of accurate and effective controller output signals.…”

Section: Controller Architecturementioning

confidence: 99%

A review of active vibration and noise suppression of plate-like structures with piezoelectric transducers

Aridogan

Basdogan

2015

Journal of Intelligent Material Systems and Structures

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Structural vibrations are the major causes of noise problems, passenger discomforts, and mechanical failures in aerospace, automotive, and marine systems, which are mainly composed of lightweight and flexible plate-like structures. In order to reduce structural vibrations and noise radiations of lightweight structures, passive and active treatments have been used and investigated over the last three decades. Our aim of this article is to review current state-of-the-art of active vibration and noise suppression systems for plate and plate-like structures with various kinds of boundary conditions. The reviewed articles use numerical methods and experimental tools to study different aspects of controller architectures. In particular, the focus is placed on the active vibration and noise control systems utilizing piezoelectric patches as sensors and actuators since their popularity in vibration-based applications has increased significantly during the last two decades. We first classify the controllers according to their architectures, then compare their performance in vibration and noise attenuation, and finally provide suggestions for further progress. The categorization of the information regarding the controller strategies and sensor/actuator configurations for different host structures can be used by the controller designers as a starting point for their specific configuration.

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“…Although feedforward strategies (e.g. the filtered reference LMS algorithm [18][19][20]) are also suited and more commonly used in ASAC and ANC applications, the goal of this paper is to show that repetitive control is a valid alternative.…”

Section: Repetitive Control Of Rotating Machinery Noisementioning

confidence: 99%