Fuzzy control and co-simulation for semi-active suspension based on improved genetic algorithm
by Jingjun Zhang; Zhiqiang Xu; Ruizhen Gao
International Journal of Innovative Computing and Applications (IJICA), Vol. 5, No. 1, 2013

Abstract: A vehicle semi-active suspension is established by using Adams software. The fuzzy logic controller of the suspension is completed from the Matlab software, and the control rules are optimised using improved genetic algorithm. And then using Adams/control module has realised the co-simulation of Adams and MATLAB. The results illustrate that this control method has decreased the body's acceleration to a large extent and improved vehicle's riding performances than the passive suspension. At the same time, the results also verify the feasibility and accuracy of using co-simulation.

Online publication date: Thu, 31-Jul-2014

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 Innovative Computing and Applications (IJICA):
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