Research on Vehicle Speed Estimation Algorithm Based on AMESim platform
To get the exact vehicle speed can effectively improve vehicle control performance in the vehicles safety control system. Depending on the simulation advantage of AMESim, the highly precise vehicle model is built as an experimental model reference model, and then adaptive kalman filter algorithm combining with the AMESim and matlab co-simulation was adopted to realize estimation of vehicle speed. In the AMESim simulation environment the algorithm was verified with the different working conditions. The simulation results show that the estimated effect is good.
vehicle speed AMESim and matlab Co-Simulation Adaptive kalman filter
Lian Xi Xie Xiaohua Meng Fankunr
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130025 China Department of Control Science and Engineering, Jilin University, Changchun, 130025 China
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
3051-3056
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）