期刊
INTERNATIONAL JOURNAL OF VEHICLE DESIGN
卷 56, 期 1-4, 页码 161-185出版社
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJVD.2011.043263
关键词
vehicle dynamic stability; slip angle; sensor fusion; EKF; extended Kalman filter; instability critical area; vehicle dynamics states; variable structure
资金
- State Key Laboratory of Automotive Safety and Energy
- National Natural Science Foundation of China [50905092]
This paper discussed vehicle slip angle estimation problem when vehicle drops into instability critical area. The accurate measurement of vehicle dynamics states, especially vehicle slip angle, is essential for the vehicle stability control if the vehicle drops into instability critical area. A variable structure adaptive Extended Kalman Filter (EKF) is brought forward to observe the vehicle slip angle under this condition. The modified non-linear vehicle model with multi-degrees and tyre model are constructed; the compensation factors are integrated into the model to correct the load transfer effect, the transient responses of the steering manoeuvre and the road conditions. Reliability Indexed Sensor Fusion (RISF) method is applied to suppress the dynamic errors of sensor system. Meanwhile, the improved direct integration method is used to correct the systematic errors. The real vehicle test validates the accuracy of the proposed method, especially for the vehicle in the instability critical area.
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