Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Journal of Intelligent Material Systems and Structures
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
1045389X09104789v1
20/9/1107    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Xiao Min Dong
Right arrow Articles by Weimin Chen
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Comparison of Suitable Control Methods for Full Vehicle with Four MR Dampers Part II Controller Synthesis and Road Test Validation

Xiao Min Dong

State Key Laboratory of Mechanic Transmission, College of Mechanic Engineering Chongqing University, Chongqing, China, xmdong{at}cqu.edu.cn, College of Opto-Electronic Engineering, Key Lab of Optoelectronic Technology and System of Education Ministry, Chongqing University, Chongqing, China

Miao Yu

College of Opto-Electronic Engineering, Key Lab of Optoelectronic Technology and System of Education Ministry, Chongqing University, Chongqing, China

Zushu Li

Automatic College of Chongqing University, Chongqing, China

Changrong Liao

College of Opto-Electronic Engineering, Key Lab of Optoelectronic Technology and System of Education Ministry, Chongqing University, Chongqing, China

Weimin Chen

College of Opto-Electronic Engineering, Key Lab of Optoelectronic Technology and System of Education Ministry, Chongqing University, Chongqing, China

The significant non-linearity and uncertainty in the behavior of magnetorheological (MR) suspension systems has been one of the main challenges in the application of this technology in the development of appropriate control algorithms. Here, four model-free control algorithms studied theoretically in prior work are applied to a full vehicle featuring four MR dampers and evaluated through road test to identify the most suitable control algorithm. The four model-free control algorithms include the well-known skyhook control, the hybrid control, the fuzzy logic control, and a newly proposed intelligent control algorithm, the human simulated intelligent control (HSIC). As the first step, four MR dampers (two for the front parts and two for the rear parts) are designed and manufactured based on the damping-force levels and mechanical dimensions of stock dampers of the test vehicle. After experimentally measuring the magnetic-field-dependent force property and controllability, a precise inverse model of MR damper is formulated. Subsequently, four controllers are developed and implemented using the rapid control prototyping technology. Then the road test with different control schemes is undertaken under various road conditions and vehicle speeds. For comparison purposes, the road test of the passive suspension system with four stock dampers is also carried out under the same conditions as that of the MR suspension system. Finally, the control responses for ride comfort and stability are evaluated in both time and frequency domains. The results support the conclusion made in the prior numerical analysis that the semi-active suspension system with each control algorithm can improve ride comfort and stability in some indexes, but HSIC algorithm is found to be the most suitable one with four MR dampers in the MR suspension system.

Key Words: magneto-rheological • control • optimization • road test.

This version was published on June 1, 2009

Journal of Intelligent Material Systems and Structures, Vol. 20, No. 9, 1107-1119 (2009)
DOI: 10.1177/1045389X09104789


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?