Study of fuzzy control for controllable suspension based on ADAMS and MATLAB co-simulation
by Zhi-cheng Wu, Quan-min Zhu, Alan Winfield, Si-zhong Chen
International Journal of Modelling, Identification and Control (IJMIC), Vol. 9, No. 1/2, 2010

Abstract: Fuzzy control of controllable vehicle suspension system and co-simulation with ADAMS and MATLAB is introduced. A linear quarter car 2-DOF suspension model and a non-linear ADAMS solid model are compared. A fuzzy controller which introduces the body acceleration and suspension travel as input and selects stiffness and damping coefficient as output control for control suspension system is designed. The co-simulation of the fuzzy control for controllable suspension with ADAMS and MATLAB is completed. From the results, the fuzzy controller can effectively operate under variable work conditions.

Online publication date: Thu, 01-Apr-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com