期刊文献+

侧风环境下车辆稳定性控制策略研究

Research on Vehicle Stability Control Strategy in Crosswind Environment
原文传递
导出
摘要 侧风环境对车辆横向稳定性的影响较大,同时增加了驾驶员操作负担,存在较大的安全隐患。为了提高车辆在侧风环境下的控制精度,基于模型预测控制(MPC)提出了一种考虑侧风环境影响的控制策略。该策略通过分析不同风速下车辆所受气动力建立了整车三自由度动力学模型,同时将气动力系数引入模型预测控制策略中,设计了主动前轮转向的车辆侧风稳定性模型预测控制器。联合仿真结果表明,与普通MPC控制器相比,该控制器在不同侧风环境下控制精度更高、响应速度更快,有效地改善了汽车操纵稳定性和行驶安全性。 The influence of crosswind conditions on the lateral stability of vehicles is significant,increasing the burden on drivers and posing substantial safety risks.To enhance the control accuracy of vehicles in crosswind environments,this paper proposes a control strategy considering the effects of crosswind based on model predictive control(MPC).This strategy involves analyzing the aerodynamic forces experienced by vehicles under different wind speeds to establish a three-degree-of-freedom dynamic model of the entire vehicle.Additionally,aerodynamic coefficients are integrated into the model predictive control strategy,leading to the design of a model predictive controller for active front-wheel steering to enhance vehicle lateral stability in crosswind conditions.Joint simulation results demonstrate that compared to a standard MPC controller,this controller achieves higher control accuracy and faster response rates in various crosswind environments,effectively improving vehicle handling stability and driving safety.
作者 田默涵 袁晓红 汪怡平 苏楚奇 刘珣 TIAN Mo-han;YUAN Xiao-hong;WANG Yi-ping;SU Chu-qi;LIU Xun(Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan University of Technology,Wuhan 430070,China;Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan 430070,China;Hubei Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering,Wuhan University of Technology,Wuhan 430070,China)
出处 《武汉理工大学学报》 CAS 2024年第7期123-129,158,共8页 Journal of Wuhan University of Technology
关键词 侧风环境 稳定性 模型预测控制 控制系统 主动前轮转向 crosswind environment stability model predictivecontrol control system activefront-wheel steering
  • 相关文献

参考文献4

二级参考文献20

  • 1孔莲芳,罗天祥,吴捷.基于状态收缩约束的模型预测负荷频率控制[J].中国电机工程学报,2007,27(7):18-22. 被引量:14
  • 2Fletcher R. Practical Methods of Optimization [M]. Chichester, UK: John Wiley & Sons, 1987.
  • 3Kouvaritakis B, Cannon M. Nonlinear Predictive Control: Theory and Practice [M]. London, UK: Institute of Electrical Engineers, 2001.
  • 4Muskc K, Rawlings J. Linear model predictive control of unstable processes [J]. Journal of Process Control, 1993, 3(85): 85-96.
  • 5Muske K, Rawlings J. Model predictive control with linear models [J]. AICE Journal, 1993, 39(2) : 262 - 287.
  • 6Kwon W, Pearson A. A modified quadratic cost function problem and feedback stabilization of a linear system [J].IEEE Transaction on Automatic Control, 1977, AC-22(5): 838 - 842.
  • 7Mayne D, Michalska H. Receding horizon control of nonlinear systems [J]. IEEE Transaction on Automatic Control, 1990, 35(5) : 814 -824.
  • 8Michalska H, Mayne D. Robust receding horizon control of constrained nonlinear systems [J]. IEEE Transaction on Automatic Control, 1993, 38(11) : 1623 - 1633.
  • 9Mayne D, Scokaert P, Rawlings J. Suboptimal model predictive control (feasibility implies stability)[J].IEEE Transaction on Automatic Control, 1999, 44(3) : 648 - 654.
  • 10Kothare S, Morari M. Contractive model predictive control for constrained nonlinear systems[J]. IEEE Transaction on Automatic Control, 2000, 45(6) : 1053 - 1070.

共引文献45

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