Decentralized complex envelope controller for ASAC by virtual mechanical impedances

Michau, Marc; Micheau, Philippe; Boulandet, Romain; Berry, Alain; Herzog, Ph.

doi:10.1109/aim.2014.6878072

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…Given the number of electrodynamic exciters as , the vector of control inputs for secondary sources is expressed as ⋯ . In this case, the total sound field in the acoustic domain is the sum of the influence of the control input and the disturbance by the noise source and is expressed as follows [14]:…”

Section: A Optimal Vmi For Minimizing the Radiated Sound Power Of A Panelmentioning

confidence: 99%

“…This is because j is used instead of an integrator to minimize the steady-state error at multiple frequencies, as described in Section II. Next, downsampling is performed using the downsampling factor M after demodulation [14]. This method aims to increase the cycle time of the controller required for noise control over 1 kHz, where passive methods are mainly applied.…”

Section: A Siso System With a Single Sensoriactuatormentioning

confidence: 99%

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Optimal Filter Design of a Virtual Mechanical Impedance Control System for Multifrequency Active Sound Power Reduction of Enclosure Panels

2021

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This paper describes an optimal filter design method for a virtual mechanical impedance (VMI) control system. Existing passive methods for reducing machinery noise are limited in use due to weight reduction, cooling, and appearance problems. The VMI control method, which does not require a sensor and can be implemented with a small number of actuators, is an active method that can replace the existing passive methods when mechanical tuning is difficult. However, the existing VMI control method can only reduce the single-tone noise. In this regard, we improved the VMI control system to reduce the radiated sound power of the enclosure panel at multiple frequencies. To achieve this, we propose an optimal filter design method for a multichannel feedback controller. Unlike the existing VMI control, the method capable of multifrequency control considers the radiation efficiency, damping, and estimation errors of the structural-acoustic system. The controller designed using the proposed method satisfies the required robustness and minimum steadystate error in the target frequency band. The results obtained from the finite element-based model and the experimental model show that the radiated sound power of the enclosure panel is reduced at multiple target frequencies after control.

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Section: A Optimal Vmi For Minimizing the Radiated Sound Power Of A Panelmentioning

confidence: 99%

Section: A Siso System With a Single Sensoriactuatormentioning

confidence: 99%

Optimal Filter Design of a Virtual Mechanical Impedance Control System for Multifrequency Active Sound Power Reduction of Enclosure Panels

2021

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“…The SSA-measured current and voltage are demodulated (Boulandet et al, 2016) to obtain V c ( f 0 ) and I t ( f 0 ) , the phasors (complex envelope) containing the instantaneous amplitude and phase at the carrier frequency f 0 . The total current I t ( f 0 ) is then corrected according to equation (21) to obtain the vibration global current I glob ( f 0 ) which is used as the error signal in an integral controller (Boulandet et al, 2016; Michau et al, 2014, 2015) in which μ is the convergence coefficient and C ~ ( f 0 ) the identified complex gain of the transfer function of input …”

Section: Ssa Implementationmentioning

confidence: 99%

Harmonic active vibration control using piezoelectric self-sensing actuation with complete digital compensation

Pelletier

Micheau

Berry

2017

Journal of Intelligent Material Systems and Structures

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In this article, the implementation of a self-sensing piezoelectric actuator with complete digital compensation is presented. The proposed compensation not only minimizes the signal due to the electrical behavior of the self-sensing actuator but also takes into account the fact that piezoelectric actuator causes a local strain—not related to the global vibration of the plate—in a vibrating plate to which it is coupled. Therefore, the corrected measured current is related to the global vibration of the plate and may be used in an active control scheme. The electro-mechanical model on which is based this self-sensing actuator is first explained. Then, the electronic and digital processing implementation is presented, as well as the active time-harmonic control scheme used. Finally, results of experimental validation are presented, and the attenuation performance of the self-sensing actuator is compared to the performances of a co-localized accelerometer/lead zirconate titanate pair. It is shown that the corrected self-sensing actuator current gives results better than what is obtained with a co-localized sensor/actuator pair and that this technique may be used to control more than one frequency simultaneously.

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“…Attempts to reduce sound transmission in large-scale structures such as fuselages have been restricted to only their constituent sub-structures. In Boulandet et al (2014) and Michau et al (2014) sections of fuselages or trim panels are installed in acoustic transmission loss test facilities and equipped with active systems. Nevertheless, a high-performance AVC/ASAC system for a large-scale structure is only realizable by incorporating all sub-structures.…”

Section: Introductionmentioning

confidence: 99%

On the stability of decentralized AVC/ASAC for large-scale structures

Algermissen

Monner

2017

Journal of Intelligent Material Systems and Structures

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Promising results have been achieved in controlling vibration and noise emission/transmission of single panel structures using active vibration control (AVC) and active structural acoustic control (ASAC). In most cases the contributed work has focused on a single panel or a section of the fuselage/lining. However, an AVC/ASAC system can only be effective when it is expanded to the entire fuselage structure. This expansion inevitably leads to a large number of sensors and actuators. For model-based control approaches especially, the system identification and the proof-of-stability would be challenging and probably not realizable. In this article a strategy for such large-scale problems is investigated. A decentralized control approach with collocated actuator–sensor pairs is proposed. Since adjacent control loops are highly coupled by the underlying structure, special attention has to be given to the global stability of the entire control system. Instead of proving local stability and setting a global master gain, a method for the tuning of the single collocated control loops is developed that takes the cross-couplings into account. Based on data of DLR’s experimental aircraft Dornier 728, it can be shown that the new method increases the performance of the control system compared to the master-gain method.

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Decentralized complex envelope controller for ASAC by virtual mechanical impedances

Cited by 7 publications

References 11 publications

Optimal Filter Design of a Virtual Mechanical Impedance Control System for Multifrequency Active Sound Power Reduction of Enclosure Panels

Optimal Filter Design of a Virtual Mechanical Impedance Control System for Multifrequency Active Sound Power Reduction of Enclosure Panels

Harmonic active vibration control using piezoelectric self-sensing actuation with complete digital compensation

On the stability of decentralized AVC/ASAC for large-scale structures

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