期刊
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 64, 期 6, 页码 2231-2241出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2014.2345695
关键词
Extended Kalman filter (EKF); identification; observer; tire force estimation; unscented Kalman filter (UKF)
资金
- Automotive Partnership Canada
- Ontario Research Fund
- General Motors
This paper proposes a novel unified structure to estimate tire forces. The proposed structure uses estimation modules to calculate/estimate tire forces by means of nonlinear observers. The novelty in the proposed approach lies in the independence of the estimates from the vehicle tire model, thereby making the structure robust against variations in vehicle mass, tire parameters due to tire wear, and, most importantly, road surface conditions. In the proposed structure, we have a dedicated module to estimate the longitudinal tire forces and another to calculate the vertical tire forces. Subsequently, these forces are fed into a third module that utilizes a nonlinear observer to estimate lateral tire forces. The proposed structure is validated through experimental studies.
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