期刊文献+

Four Wheel Independent Drive Electric Vehicle Lateral Stability Control Strategy 被引量:7

下载PDF
导出
摘要 In this paper,a kind of lateral stability control strategy is put forward about the four wheel independent drive electric vehicle.The design of control system adopts hierarchical structure.Unlike the previous control strategy,this paper introduces a method which is the combination of sliding mode control and optimal allocation algorithm.According to the driver’s operation commands(steering angle and speed),the steady state responses of the sideslip angle and yaw rate are obtained.Based on this,the reference model is built.Upper controller adopts the sliding mode control principle to obtain the desired yawing moment demand.Lower controller is designed to satisfy the desired yawing moment demand by optimal allocation of the tire longitudinal forces.Firstly,the optimization goal is built to minimize the actuator cost.Secondly,the weighted least-square method is used to design the tire longitudinal forces optimization distribution strategy under the constraint conditions of actuator and the friction oval.Beyond that,when the optimal allocation algorithm is not applied,a method of axial load ratio distribution is adopted.Finally,Car Sim associated with Simulink simulation experiments are designed under the conditions of different velocities and different pavements.The simulation results show that the control strategy designed in this paper has a good following effect comparing with the reference model and the sideslip angle is controlled within a small rang at the same time.Beyond that,based on the optimal distribution mode,the electromagnetic torque phase of each wheel can follow the trend of the vertical force of the tire,which shows the effectiveness of the optimal distribution algorithm.
出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2020年第6期1542-1554,共13页 自动化学报(英文版)
基金 supported by the National Nature Science Foundation(U1664263) National Key R&D Program of China(2016YFB0101102)。
  • 相关文献

参考文献3

二级参考文献11

  • 1Venhovens Pau J T, Naab Karl. Vehicle dynamics estimation using Kalman filters. Vehicle System Dynamics, 1999, 32(2-3): 171-184.
  • 2Gustaffson F, Persson N, Drev? M, Lofgren M. Virtual sensors of tire pressure and road friction. In: Proceedings of the 2001 Society of Automotive Engineers World Congress. Detroit, USA: SAE, 2001. 2001-01-0796.
  • 3Wenzel T A, Burnham K J, Blundell M V, Williams R A. Dual extended Kalman filter for vehicle state and parameter estimation. Vehicle System Dynamics, 2006, 44(2): 153-171.
  • 4Wenzel T A, Burnham K J, Blundell M V, Williams R A. Kalman filter as a virtual sensor: applied to automotive stability systems. Transactions of the Institute of Measurement and Control, 2007, 29(2): 95-115.
  • 5Tseng H E. A sliding mode lateral velocity observer. In: Proceedings of the 6th International Symposium on Advanced Vehicle Control. Hiroshima, Japan: AVEC, 2002. 387-392.
  • 6Stéphant J, Charara A, Meizel D. Virtual sensor: application to vehicle sideslip angle and transversal forces. IEEE Transactions on Industrial Electronics, 2004, 51(2): 278-289.
  • 7周东华, 叶银忠. 现代故障诊断与容错控制. 北京: 清华大学出版社, 2000. 60-76.
  • 8Arbor A. CarSim Reference Manual. USA: Mechanical Simulation Corporation, 2005. 30-53.
  • 9周东华,席裕庚,张钟俊.一种带多重次优渐消因子的扩展卡尔曼滤波器[J].自动化学报,1991,17(6):689-695. 被引量:191
  • 10Fei-Yue Wang.Control 5.0: From Newton to Merton in Popper's Cyber-Social-Physical Spaces[J].IEEE/CAA Journal of Automatica Sinica,2016,3(3):233-234. 被引量:11

共引文献78

同被引文献61

引证文献7

二级引证文献22

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部