Active Structural Acoustic Control at the motor cover of a mission field vehicle
Translated title
Aktive Steuerung der Strukturschwingungen und Schallabstrahlung an der Motorabdeckung eines Einsatzfahrzeugs
Publication date
2025
Document type
Konferenzbeitrag
Author
Organisational unit
Conference
51st Annual Meeting on Acoustics (DAS|DAGA 2025) ; Copenhagen, Denmark ; March 17–20, 2025
Publisher
Deutsche Gesellschaft für Akustik e.V. (DEGA)
Series or journal
Proceedings of DAS|DAGA 2025
First page
908
Last page
911
Part of the university bibliography
✅
Language
English
Abstract
The management of acoustic signatures plays an important role in military applications. This has always been a concern for ships and other vessels being detected by their sound emissions. Recently, the acoustic camouflage of mission field vehicles gained rising significance in the German military research. Those acoustic signatures are various in terms of origin and characteristics, reaching from the noise of exhaust or air-cooling systems to the vibration and sound radiation of car body elements. Traditional passive measures, such as additional damping material, often are insufficient at lower frequencies due to high mass requirements.
The focus of this study is on the Active Structural Acoustic Control (ASAC) at the motor cover of a mission field vehicle enforced by a network of electromechanical actuators and sensors. This network is declared as “Multiple Input Multiple Output” (MIMO) -system which is controlled by a Feedforward FxLMS algorithm to minimize the sound radiation properties. The performance is tested by acoustic measurements with a set of microphones outward the motor cover as well as the vibration field measurements with the Laser Doppler Vibrometer. The measurements show a significant reduction of the relevant frequency peaks of the acoustic signature.
The focus of this study is on the Active Structural Acoustic Control (ASAC) at the motor cover of a mission field vehicle enforced by a network of electromechanical actuators and sensors. This network is declared as “Multiple Input Multiple Output” (MIMO) -system which is controlled by a Feedforward FxLMS algorithm to minimize the sound radiation properties. The performance is tested by acoustic measurements with a set of microphones outward the motor cover as well as the vibration field measurements with the Laser Doppler Vibrometer. The measurements show a significant reduction of the relevant frequency peaks of the acoustic signature.
Version
Published version
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