Improving active control of fan noise with automatic spectral reshaping for reference signal

Chen, Kai; Paurobally, Roshun; Qiu, Xiaojun

doi:10.1016/j.apacoust.2014.07.003

Cited by 23 publications

(12 citation statements)

References 7 publications

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“…Similar to that in a TFLN, in an AEFLN, the tap delayed input signal (4) of length N is functionally expanded to M=N(2B+1)+1 terms. The expanded input signal vector is given by (5) where a(n) is an adaptive exponential parameter.…”

Section: Tfln and Aefln Based Nonlinear Filtersmentioning

confidence: 99%

“…In the automotive environment a variety of active control systems have been proposed for both engine [2] and road noise control [3]. More broadly, active control technology has been applied to fan noise [4], active earmuffs [5], noise transmission through windows [6], sound radiation from a helicopter transmission [7] and diesel generator noise in the master cabin of a luxury yacht [8].…”

Section: Introductionmentioning

confidence: 99%

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A Local Active Noise Control System Based on a Nonlinear Sensing Technique for Yacht Applications

Mylonas¹,

Erspamer²,

Paradisiois³

et al. 2020

XI International Conference on Structural Dynamics

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Section: Tfln and Aefln Based Nonlinear Filtersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Local Active Noise Control System Based on a Nonlinear Sensing Technique for Yacht Applications

Mylonas¹,

Erspamer²,

Paradisiois³

et al. 2020

XI International Conference on Structural Dynamics

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“…min αγ wc + βγ we ; (19) subject to LMI/LME system (16a) and (16b), in which, α and β ∈ + R are user-defined values expressing the weight of the ADRC performance objective compared to robust KFSMO objective.…”

Section: Adrc Based On Kfsmomentioning

confidence: 99%

“…18 Mechanical vibrating systems based on the concept of smart structures were also categorized as the potential case studies for observer-based ADRC. 19,20 In this paper, the control method is realized on a smart vibrating clamped-free beam to evaluate the disturbance rejection, state estimation, and chattering prevention performance.…”

Section: Introductionmentioning

confidence: 99%

Mixed Kalman-Fuzzy Sliding Mode State Observer in Disturbance Rejection Control of a Vibrating Smart Structure

Oveisi¹,

Nestorović²

2019

The International Journal of Acoustics and Vibration

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In the controllers that are synthesized on a nominal model of a nonlinear plant, the parametric matched uncertainties and nonlinear/unmodelled dynamics of the high order nature can significantly affect the performance of the closed-loop system. On this note, owing to the robust characteristic of the sliding mode observer against modelling perturbations, measurement noise, and unknown disturbances and due to the non-fragile behaviour of the Kalman filter against process noise, a mixed Kalman sliding mode state-observer is proposed and later enhanced by the addition of an intelligent fuzzy agent. In light of the proposed technique, the chattering phenomena and the conservative boundary neighboring layer of the high gain sliding mode observer are addressed. Then, a robust active disturbance rejection controller is developed by using the static feedback of the estimated states using a~direct Lyapunov quadratic stability theorem. The reduced order plant for control design purposes is subjected to some simulated square-integrable disturbances and is assumed to have mismatched uncertainties in the system matrices. Finally, the robust performance of the closed-loop scheme with respect to the mentioned perturbation signals and modelling imperfections is tested by implementing the control system on a mechanical vibrating smart cantilever beam.

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“…In the automotive environment a variety of active control systems have been proposed for both engine [7,8] and road noise control [9,10]. More broadly, active control technology has been applied to fan noise [11], active earmuffs [12], noise transmission through windows [13] and sound radiation from a helicopter transmission [14].…”

Section: Introductionmentioning

confidence: 99%

Active noise control of a diesel generator in a luxury yacht

Cheer

Elliott

2016

Applied Acoustics

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Active noise control has been applied to a variety of systems in order to improve performance without the increases in size and weight that would otherwise be required by traditional passive noise control treatments. This paper investigates the application of an active noise control system to the control of generator noise in the master cabin of a luxury yacht. A multichannel, multi-tonal active noise control system employing loudspeakers and microphones in the master cabin of the yacht is investigated. It is shown that, due to the high number of engine orders produced by the generator, in order to achieve significantly perceptible levels of noise attenuation it is necessary to control at least 7 individual orders. A controller is investigated which targets 19 engine orders and it is shown to achieve in excess of 5 dB broadband attenuation, whilst achieving up to 23 dB attenuation in individual orders. This corresponds to a 23% reduction in the Zwicker loudness.

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Improving active control of fan noise with automatic spectral reshaping for reference signal

Cited by 23 publications

References 7 publications

A Local Active Noise Control System Based on a Nonlinear Sensing Technique for Yacht Applications

A Local Active Noise Control System Based on a Nonlinear Sensing Technique for Yacht Applications

Mixed Kalman-Fuzzy Sliding Mode State Observer in Disturbance Rejection Control of a Vibrating Smart Structure

Active noise control of a diesel generator in a luxury yacht

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