Semi-active vibro-acoustic control of vehicle transmission systems using a metal rubber-based isolator

被引:3
|
作者
Soleimanian, Sina [1 ]
Petrone, Giuseppe [1 ]
Franco, Francesco [1 ]
De Rosa, Sergio [1 ]
Kolakowski, Przemyslaw [2 ]
机构
[1] Univ Naples Federico II, Dept Ind Engn, Naples, Italy
[2] Adaptronica Sp Zoo, R&D Co, Lomianki, Poland
关键词
Semi -active control; Noise measurement; Vibration control; Transmission system; Metal rubber; Adaptive material; VIBRATION CONTROL; PERIODIC STRUTS; NOISE-CONTROL; DESIGN; DAMPER;
D O I
10.1016/j.apacoust.2024.109861
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This work is concerned about employing a semi-active metal rubber (MR)-based isolator to suppress noise and vibration for vehicle transmission systems. The adaptive stiffness and damping properties of MR material play a key role in the semi-active control effect. In this regard, a particular automotive transmission component-precisely, a plate dedicated to accommodating bearings-has been selected as the focus of research to control its noise and vibration. A microcomputer-driven control system is applied, featuring characteristics such as high performance, compact size, lightweight design, and energy efficiency, which make it ideal for testing in the automotive sector. The efficacy of the devised control scheme is assessed through the deployment of accelerometers and sound intensity probes to quantify the vibrations and the radiated acoustic power, respectively. Interesting noise and vibration reduction rates are achieved using both open-loop and closed-loop strategies. This research opens the horizons to employ MR material in a semi-active configuration for industrial requirements surpassing its classical passive implementation, notably in terms of broadband attenuation performance.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Preview Control of Vehicle Semi-active Suspension Using Model Predictive Control Based on Fast Fourier Transform
    Ahmed, Mahmoud
    Svaricek, Ferdinand
    AUTOREG 2013, 2013, 2196 : 35 - 50
  • [42] Active and semi-active control of suspension systems for commercial vehicles based on preview
    Kok, JJ
    vanHeck, JGAM
    Huisman, RGM
    Muijderman, JHEA
    Veldpaus, FE
    PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, : 2992 - 2996
  • [43] STUDY ON SEMI-ACTIVE CONTROL OF ARMORED VEHICLE SUSPENSIONS BASED ON RUI METHOD
    Wei, Min
    Rui, Xiaoting
    Zhu, Wei
    Yang, Fufeng
    Zhang, Jianshu
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 6, 2018,
  • [44] Observer based semi-active suspension control applied to a light commercial vehicle
    Sankaranarayanan, V.
    Emekli, M. Engin
    Guvenc, Bilin Aksun
    Guvenc, Levent
    Ozturk, E. Serdar
    Ersolmaz, S. Server
    Eyo, I. Erhan
    Sinal, Mustafa
    2007 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3, 2007, : 798 - +
  • [45] Research on Optimal Control of Vehicle Vibration Based on Semi-Active Suspension System
    Xu, Jia
    Wang, Hongli
    Zhu, Zhiwen
    Ge, Gen
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5, 2008, : 2835 - 2839
  • [46] STUDY ON PID CONTROL OF VEHICLE SEMI-ACTIVE SUSPENSION BASED ON GENETIC ALGORITHM
    Chen, Guoqiang
    Lv, Shaobin
    Dai, Jun
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2019, 15 (03): : 1093 - 1114
  • [47] Tracking Active Control Forces by Using a Semi-Active Vehicle Suspension Integrated with Negative Stiffness
    Shi, Xiang
    Wu, Zhiwei
    Hua, Yingyu
    Shi, Wei
    Zhu, Songye
    Li, Jinyang
    INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS, 2024, 24 (02)
  • [48] Enhanced variable-universe fuzzy control for vehicle semi-active suspension systems
    Pang, Hui
    Liu, Fan
    Liu, Xue
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 31 (06) : 2999 - 3006
  • [49] Pro-active optimal control for semi-active vehicle suspension based on sensitivity updates
    Michael, Johannes
    Gerdts, Matthias
    VEHICLE SYSTEM DYNAMICS, 2015, 53 (12) : 1721 - 1741
  • [50] Modeling and semi-active fuzzy control of magnetorheological elastomer-based isolator for seismic response reduction
    Xuan Bao Nguyen
    Komatsuzaki, Toshihiko
    Iwata, Yoshio
    Asanuma, Haruhiko
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 101 : 449 - 466