Enhancement of SUV Roll Dynamics using Fuzzy Logic Control
This paper presents the development of roll control using feedforward fuzzy control for improvement of vehicle roll dynamics. The mathematical equations of the full car vehicle model were derived and the Matlab/SIMULINK model was developed. The tire model integrated to the vehicle model was repr...
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my.utem.eprints.104872015-05-28T04:11:27Z http://eprints.utem.edu.my/id/eprint/10487/ Enhancement of SUV Roll Dynamics using Fuzzy Logic Control Phuman Singh, A.S. TJ Mechanical engineering and machinery This paper presents the development of roll control using feedforward fuzzy control for improvement of vehicle roll dynamics. The mathematical equations of the full car vehicle model were derived and the Matlab/SIMULINK model was developed. The tire model integrated to the vehicle model was represented using loop up table method. The parameters of sport utility vehicle were used for simulation purpose. The vehicle model was validated using CarSim software for double lane change maneuver. From the simulation results, the trend and magnitude of the vehicle model responses were similar to that of CarSim. A roll control strategy using road steering wheel angle and vehicle longitudinal velocity as the inputs fuzzy control was developed and implemented on the validated vehicle model. The controller performance for Fishhook and step steer maneuvers has proven the capability of the proposed control strategy in reducing the tendency to rollover. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/10487/1/06141658.pdf Phuman Singh, A.S. (2011) Enhancement of SUV Roll Dynamics using Fuzzy Logic Control. In: 2011 First International Conference on Informatics and Computational Intelligence, 12-14 December 2011, Bandung, Indonesia. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6141658 |
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TJ Mechanical engineering and machinery Phuman Singh, A.S. Enhancement of SUV Roll Dynamics using Fuzzy Logic Control |
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This paper presents the development of roll control
using feedforward fuzzy control for improvement of vehicle
roll dynamics. The mathematical equations of the full car
vehicle model were derived and the Matlab/SIMULINK model
was developed. The tire model integrated to the vehicle model was represented using loop up table method. The parameters of sport utility vehicle were used for simulation purpose. The vehicle model was validated using CarSim software for double lane change maneuver. From the simulation results, the trend and magnitude of the vehicle model responses were similar to that of CarSim. A roll control strategy using road steering wheel angle and vehicle longitudinal velocity as the inputs fuzzy control was developed and implemented on the validated vehicle model. The controller performance for Fishhook and step steer maneuvers has proven the capability of the proposed control strategy in reducing the tendency to rollover. |
format |
Conference or Workshop Item |
author |
Phuman Singh, A.S. |
author_facet |
Phuman Singh, A.S. |
author_sort |
Phuman Singh, A.S. |
title |
Enhancement of SUV Roll Dynamics using Fuzzy Logic Control |
title_short |
Enhancement of SUV Roll Dynamics using Fuzzy Logic Control |
title_full |
Enhancement of SUV Roll Dynamics using Fuzzy Logic Control |
title_fullStr |
Enhancement of SUV Roll Dynamics using Fuzzy Logic Control |
title_full_unstemmed |
Enhancement of SUV Roll Dynamics using Fuzzy Logic Control |
title_sort |
enhancement of suv roll dynamics using fuzzy logic control |
publishDate |
2011 |
url |
http://eprints.utem.edu.my/id/eprint/10487/1/06141658.pdf http://eprints.utem.edu.my/id/eprint/10487/ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6141658 |
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