study on integrated control of active front steering and direct yaw moment based on vehicle lateral velocity estimation
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ID: 225958
2013
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Abstract
Considering the vehicle lateral velocity is difficult to be measured at integration of chassis control in configuration of production vehicle, this study presents the vehicle lateral velocity estimation based on the extended Kalman filtering with the standard sensor information. The fuzzy control algorithm is proposed to integrate direct yaw moment control and active front steering with lateral velocity estimation. The integration controller produces direct yaw moment and front wheel angle compensation to control yaw rate and sideslip angle, which makes the actual vehicle yaw rate and sideslip angle follow desirable yaw rate and desirable sideslip angle. The simulation results show vehicle handling and stability are enhanced under different driving cycles by the proposed algorithm.
| Reference Key |
sun2013mathematicalstudy
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|---|---|
| Authors | ;Tao Sun;Hao Guo;Jian-yong Cao;Ling-jiang Chai;Yue-dong Sun |
| Journal | journal of power sources |
| Year | 2013 |
| DOI |
10.1155/2013/275269
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