Feedforward control of double-panel casing for active reduction of device noise

Wrona, Stanisław; Pawełczyk, Marek

doi:10.1177/1461348418811429

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…The rigid casing employed in this research has a cubic shape. Its dimensions are 600 mm × 600 mm × 600 mm [ 29 ]. Each casing wall, except the sound-insulated base, consists of single or double panels mounted to the heavy frame with twenty screws.…”

Section: Methodsmentioning

confidence: 99%

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Spectral Analysis of Macro-Fiber Composites Measured Vibration of Double-Panel Structure Coupled with Solenoids

Chraponska

Rzepecki

Isaac

et al. 2020

Sensors

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Noise may have a negative impact on humans health and well being. Noise is a direct result of the vibration of structures. Many industrial workers and people using household appliances may be exposed to these harmful factors. To minimize their negative consequences, different approaches to noise and vibration reduction may be applied, e.g., active, semi-active or passive methods. In this research, a semi-active approach to vibration reduction of a cubic rigid casing enclosing a noise- and vibration-generating device is presented. One of the casing walls consists of double thin steel panels, coupled with the use of electromagnetic dampers—solenoids installed in the space between the panels. Other casing walls are built of single plywood panels. Vibrations of the outer (radiating) panel of the wall are measured by Macro-Fiber Composite patches. Spectral analysis of structure vibration is carried out to identify the benefits of the proposed coupling solution in terms of vibration reduction of the wall. The frequency range, where vibration reduction is observed, depends on the number of activated solenoids and the duty cycle of a Pulse Width Modulation (PWM) signal. Advantages and drawbacks of the proposed method are discussed and future improvements of the examined setup are suggested.

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Section: Methodsmentioning

confidence: 99%

“…A noise-generating loudspeaker is placed inside the cubic rigid casing. Each of the casing walls may be built of single- or double panels [ 29 ]. In this study, one of the casing walls is a double-panel structure, consisting of thin steel panels, coupled with the use of electromagnetic actuators—solenoids.…”

Section: Introductionmentioning

confidence: 99%

Spectral Analysis of Macro-Fiber Composites Measured Vibration of Double-Panel Structure Coupled with Solenoids

Chraponska

Rzepecki

Isaac

et al. 2020

Sensors

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“…To address these limitations in linear controller, innovative nonlinear adaptive filters and associated control algorithms were successively proposed to reduce nonlinear effects caused by various reasons (M Kuo and Kuo, 2010). Several notable schemes have already shown advancements in laboratory examination and actual applications (Wrona and Pawelczyk, 2019; Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Self-balancing collaboration between linear and nonlinear adaptive sub-filters for hybrid active noise control

Zhou

Jia

et al. 2022

Journal of Vibration and Control

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Conventional adaptive filters for active noise control (ANC) are troubled by the trade-off between convergence speed and steady state error, especially when nonlinearity plays an important role in system model. In this paper, a hybrid ANC algorithm called FBFLANN is constructed by the collaboration of FIR and bilinear functional link artificial neural network. The characteristics of linear and nonlinear sub-filters are analyzed and utilized to facilitate the adaptability in noise reduction. A convex factor is employed to automatically balance the contribution of two sub-filters, achieving faster convergence and higher accuracy in the presence of nonlinear distortions. The mathematical working and updating rules of the controller are derived to regulate the ANC process theoretically. The effectiveness of the proposed FBFLANN algorithm is demonstrated by numerous simulation studies considering diverse nonlinear acoustic path models as well as acoustic feedback interference. Hardware ANC platform is built up to verify the real-time noise control performance in physical noisy environments. The simulation and experiment results confirm the applicability and prospects for further development of the presented architecture in noise control scenarios.

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“…In this research, a rigid casing [ 15 ] is under investigation. Such casing consists of a heavy frame with walls built of single- or double-panels, mounted on the frame.…”

Section: Introductionmentioning

confidence: 99%

Chladni Figures in Modal Analysis of a Double-Panel Structure

Rzepecki

Chraponska

Budzan

et al. 2020

Sensors

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Analysis of the structural vibration, under the sound excitation is an important part of the quality assurance during the design process of devices. One of the most commonly used method is Laser Doppler Vibrometry (LDV). However, under the rapid fluctuations of temperature, structural resonances are shifted into the other frequencies. In such situation LDV method may be inconvenient, due to the scanning time. In this paper the authors proposed Chladni figures to modal analysis of the double-panel structure, excited by the loudspeaker enclosed inside the casing with a rigid frame. Double-panel structure has been proven to be particularly useful for noise and vibration reduction applications. Vision images, obtained during the experiments are converted to binary patterns, using GLCM matrix, and compared with simulations performed in ANSYS.

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Feedforward control of double-panel casing for active reduction of device noise

Cited by 7 publications

References 17 publications

Spectral Analysis of Macro-Fiber Composites Measured Vibration of Double-Panel Structure Coupled with Solenoids

Spectral Analysis of Macro-Fiber Composites Measured Vibration of Double-Panel Structure Coupled with Solenoids

Self-balancing collaboration between linear and nonlinear adaptive sub-filters for hybrid active noise control

Chladni Figures in Modal Analysis of a Double-Panel Structure

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