Active roll control strategy using fuzzy logic control active suspension
An active roll control system using a combination of feedback and feedforward fuzzy logic control active suspension for enhancement of vehicle roll dynamics is presented in this paper. The dynamics model representing the vehicle behavior was first developed and then modeled in the Matlab/SIMULINK en...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Published: |
World Scientific and Engineering Academy and Society
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/51713/ https://www.researchgate.net/publication/290945632 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.51713 |
---|---|
record_format |
eprints |
spelling |
my.utm.517132018-10-14T08:37:14Z http://eprints.utm.my/id/eprint/51713/ Active roll control strategy using fuzzy logic control active suspension Phuman Singh, Amrik Singh Mat Darus, Intan Zaurah TJ Mechanical engineering and machinery An active roll control system using a combination of feedback and feedforward fuzzy logic control active suspension for enhancement of vehicle roll dynamics is presented in this paper. The dynamics model representing the vehicle behavior was first developed and then modeled in the Matlab/SIMULINK environment. The tire model used was developed based on tire test data using loop up table method. The validity of the vehicle model was verified using CarSim software for double lane change maneuver. The inputs to the feedforward fuzzy logic control were the driver steering wheel angle and vehicle longitudinal velocity and the output of the feedforward fuzzy logic control was the counter roll moment. For the feedback fuzzy logic control, the roll angle error and error rate were the inputs whereas the counter roll moment was the output. The effectiveness of the proposed control system was demonstrated for fishhook, step steer, and double lane change maneuvers and this vehicle roll control system has shown its capability in reducing vehicle rollover propensity World Scientific and Engineering Academy and Society 2014 Article PeerReviewed Phuman Singh, Amrik Singh and Mat Darus, Intan Zaurah (2014) Active roll control strategy using fuzzy logic control active suspension. WSEAS Transactions on Systems and Control, 9 (1). pp. 566-573. ISSN 1991-8763 https://www.researchgate.net/publication/290945632 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
TJ Mechanical engineering and machinery |
spellingShingle |
TJ Mechanical engineering and machinery Phuman Singh, Amrik Singh Mat Darus, Intan Zaurah Active roll control strategy using fuzzy logic control active suspension |
description |
An active roll control system using a combination of feedback and feedforward fuzzy logic control active suspension for enhancement of vehicle roll dynamics is presented in this paper. The dynamics model representing the vehicle behavior was first developed and then modeled in the Matlab/SIMULINK environment. The tire model used was developed based on tire test data using loop up table method. The validity of the vehicle model was verified using CarSim software for double lane change maneuver. The inputs to the feedforward fuzzy logic control were the driver steering wheel angle and vehicle longitudinal velocity and the output of the feedforward fuzzy logic control was the counter roll moment. For the feedback fuzzy logic control, the roll angle error and error rate were the inputs whereas the counter roll moment was the output. The effectiveness of the proposed control system was demonstrated for fishhook, step steer, and double lane change maneuvers and this vehicle roll control system has shown its capability in reducing vehicle rollover propensity |
format |
Article |
author |
Phuman Singh, Amrik Singh Mat Darus, Intan Zaurah |
author_facet |
Phuman Singh, Amrik Singh Mat Darus, Intan Zaurah |
author_sort |
Phuman Singh, Amrik Singh |
title |
Active roll control strategy using fuzzy logic control active suspension |
title_short |
Active roll control strategy using fuzzy logic control active suspension |
title_full |
Active roll control strategy using fuzzy logic control active suspension |
title_fullStr |
Active roll control strategy using fuzzy logic control active suspension |
title_full_unstemmed |
Active roll control strategy using fuzzy logic control active suspension |
title_sort |
active roll control strategy using fuzzy logic control active suspension |
publisher |
World Scientific and Engineering Academy and Society |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/51713/ https://www.researchgate.net/publication/290945632 |
_version_ |
1643653051124285440 |
score |
13.160551 |