Local active control of road noise inside a vehicle. (15th April 2019)

• Record Type: Journal Article
• Authors: Jung, Woomin; Elliott, Stephen J.; Cheer, Jordan
• Is Part Of: Mechanical systems and signal processing. Volume 121(2019)
• Page Start: 144
• Page End: 157
• Publication Date: 2019-04-15
• Subjects: Active sound control -- Local active noise control -- Active headrest system -- Remote microphone technique -- Road noise -- Vehicle interior noise; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2018.11.003
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: An estimation error with 16 monitoring microphones is less than −10 dB up to 800 Hz. An active headrest system reduces interior noise by average 3.7 dB up to 1 kHz. A maximum reduction of 8.6 dB is achieved at 747 Hz. With 14 cm head movements, good attenuation is maintained by updating responses. Abstract: The performance is investigated of a multichannel feedforward headrest system for the active control of interior road noise around a listener's ears in a vehicle cabin. An active headrest system is combined with the remote microphone technique so that direct measurement of the error signals at the listener's ears are not necessary. The formulation of the optimal observation filter for the remote microphone technique and the optimal controller for active control is presented in the time domain, to sense and control broadband random road noise. The estimation accuracy of the remote microphone technique is investigated through simulations, using the signals measured at a number of monitoring microphones and error microphones in the cabin of a large SUV. It is shown that disturbances at the virtual error microphones can be accurately estimated by a causal observation filter. The attenuation performance of the active headrest system using the remote microphone technique is also predicted offline, using measured plant responses, disturbance signals and reference signals, which shows that several peaks in the spectrum of the road noise can be reduced at frequencies of up to 1 kHz. The effects of delays and head movements on the attenuation performance are also studied.