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 |
| Language: | en |
| Published: |
WSEAS Journals
2014
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/14627/1/WSEAS2014.pdf http://eprints.utem.edu.my/id/eprint/14627/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|