Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008 |
| Seiten | 239-242 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - 2008 |
Abstract
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Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008. 2008. S. 239-242.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Modeling and Intelligent Control of Vehicle Active Suspension System
AU - Sun, Jianmin
AU - Yang, Quingmei
PY - 2008
Y1 - 2008
N2 - Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the sprung mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass.
AB - Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the sprung mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass.
U2 - 10.1109/RAMECH.2008.4681376
DO - 10.1109/RAMECH.2008.4681376
M3 - Conference contribution
SP - 239
EP - 242
BT - Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008
ER -