University of Sussex
Browse

Design an intelligent controller for full vehicle nonlinear active suspension systems

Download (733.1 kB)
journal contribution
posted on 2023-06-19, 07:57 authored by A A Aldair, William WangWilliam Wang
The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial intelligence Neuro-Fuzzy (NF) technique to design a robust controller to meet the control objectives. The advantage of this controller is that it can handle the nonlinearities faster than other conventional controllers. The approach of the proposed controller is to minimize the vibrations on each corner of vehicle by supplying control forces to suspension system when travelling on rough road. The other purpose for using the NF controller for vehicle model is to reduce the body inclinations that are made during intensive manoeuvres including braking and cornering. A full vehicle nonlinear active suspension system is introduced and tested. The robustness of the proposed controller is being assessed by comparing with an optimal Fractional Order (FOPID) controller. The results show that the intelligent NF controller has improved the dynamic response measured by decreasing the cost function.

History

Publication status

  • Published

File Version

  • Published version

Journal

International Journal on Smart Sensing and Intelligent Systems

ISSN

11785608

Publisher

Massey University

Issue

2

Volume

4

Page range

224-243

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2012-10-04

First Open Access (FOA) Date

2012-10-04

First Compliant Deposit (FCD) Date

2012-10-04

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC