Research Paper:
Interior Acoustic Control System Using Boundary Vibration with Giant Magnetostrictive Actuator: Improving Noise Reduction Through Actuator Placement and Secondary Path Construction
Wenbao Wu*1,
, Yudai Tanaka*2, Kentaro Sawada*2, Taro Kato*3
, Ikkei Kobayashi*1, Jumpei Kuroda*1
, Daigo Uchino*4
, Kazuki Ogawa*5
, Keigo Ikeda*6
, Ayato Endo*7
, Takayoshi Narita*8
, and Hideaki Kato*8

*1Course of Science and Technology, Tokai University
4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan
Corresponding author
*2Course of Mechanical Engineering, Tokai University
4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan
*3Department of Mechanical Engineering, Tokyo University of Technology
1404-1 Katakuramachi, Hachioji, Tokyo 192-0982, Japan
*4Department of Mechanical Engineering, National Institute of Technology, Numazu College
3600 Ooka, Numazu, Shizuoka 410-8501, Japan
*5Department of Electronic Robotics Engineering, Aichi University of Technology
50-2 Manori, Nishihasama-cho, Gamagori, Aichi 443-0047, Japan
*6Department of Mechanical Engineering, Hokkaido University of Science
15-4-1 Maeda 7-Jo, Teine-ku, Sapporo, Hokkaido 006-8585, Japan
*7Department of Electrical Engineering, Fukuoka Institute of Technology
3-30-1 Wajirohigashi, Higashi-ku, Fukuoka, Fukuoka 811-0295, Japan
*8Department of Mechanical System Engineering, School of Engineering, Tokai University
4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan
Ultra-compact electric vehicles (EVs) have gained popularity due to their compact size, lightweight design, affordability, and environmental friendliness. However, significant interior noise, mainly from road and wind noise, remains a challenge. To address this, we developed an active noise cancellation (ANC) system using a giant magnetostrictive actuator installed on the roof to generate counteracting sound waves through roof panel vibrations. This study employed a variant of the least mean squares (LMS) algorithm, the Filtered-X LMS algorithm, to achieve real-time noise cancellation by continuously updating the coefficients of the FIR adaptive filter. In addition, the influence of introducing and not introducing a secondary path estimation module in the noise reduction system on the overall noise reduction performance was also studied. Furthermore, this study analyzed the effects of different excitation points on noise reduction performance and proposed using the power spectral density method to examine the sound spectra and power density at various excitation points, aiming to explore the reasons behind how the actuator’s fixed position influences noise reduction performance. Finally, experiments on ANC of simulated road noise were conducted on an ultra-compact EV, and the results verified the effectiveness of incorporating secondary path characteristics and selecting an appropriate excitation point in enhancing active noise cancellation performance.

GMA-driven ANC for ultra-compact EV
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