Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Identification and application of black-box model for a self-sensing damping system using a magneto-rheological fluid damper

Tools
- Tools
+ Tools

Truong, Dinh Quang and Ahn, Kyoung Kwan (2010) Identification and application of black-box model for a self-sensing damping system using a magneto-rheological fluid damper. Sensors and Actuators A: Physical, 161 (1-2). pp. 305-321. doi:10.1016/j.sna.2010.04.031 ISSN 0924-4247.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1016/j.sna.2010.04.031

Request Changes to record.

Abstract

In vibration control field, magneto-rheological (MR) fluid dampers are semi-active control devices that have recently begun to receive more attention. This paper presents a black-box model (BBM) for identification of a MR fluid damper and its application to vibrating control systems using that damper with self-sensing behavior.

A model named “black-box” is a simple direct modeling method which is designed for a typical MR fluid damper using the self-tuning fuzzy technique. The characteristics of the researched damper are directly estimated through a fuzzy mapping system. In order to improve the accuracy of the proposed model, the back propagation algorithm and gradient descent method were used to train the fuzzy parameters to minimize the model error function. Consequently, the BBM with the optimized parameters can be used as a virtual sensor to measure the damping force of a vibrating control system using the corresponding MR fluid damper.

The effectiveness of the proposed self-sensing technique was investigated through a model evaluation and experiments on vibrating systems applied the research MR fluid damper. The modeling results and experimental self-sensing force comparing with actual damping force show that the designed method based on the black-box model can describe well the behavior of the MR fluid damper which is used for the self-sensing damping force control systems.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Sensors and Actuators A: Physical
Publisher: Elsevier Science BV
ISSN: 0924-4247
Official Date: June 2010
Dates:
DateEvent
June 2010Published
1 June 2010Available
23 April 2010Available
29 October 2009Submitted
Volume: 161
Number: 1-2
Page Range: pp. 305-321
DOI: 10.1016/j.sna.2010.04.031
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Adapted As:

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us