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兵工学报 ›› 2011, Vol. 32 ›› Issue (2): 242-246.

• 研究简报 • 上一篇    下一篇

车辆半主动悬架自适应预测控制

武云鹏, 管继富, 顾亮   

  1. (北京理工大学 机械与车辆学院, 北京 100081)
  • 收稿日期:2010-01-20 修回日期:2010-01-20 上线日期:2014-05-04
  • 通讯作者: 武云鹏 E-mail:suspensin2007@gmail.com
  • 作者简介:武云鹏(1979—),男,博士
  • 基金资助:
    国家部委预先研究基金(62301030102)

Adaptive Predictive Control of Vehicle Semi-Active Suspension

WU Yun-peng, GUAN Ji-fu, GU Liang   

  1. (School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China)
  • Received:2010-01-20 Revised:2010-01-20 Online:2014-05-04
  • Contact: WU Yun-peng E-mail:suspensin2007@gmail.com

摘要: 车辆半主动悬架能够显著改善车辆行驶的平顺性和稳定性。控制算法需根据路面及车速的变车辆半主动悬架能够显著改善车辆行驶的平顺性和稳定性。控制算法需根据路面及车速的变化动态优化振动加速度、车轮动载,并满足悬架动挠度和阻尼系数变化范围的约束,同时对车辆载荷变化、悬架元件参数变化等引起的模型误差具有自适应能力。将广义预测控制(GPC)应用到车辆半主动悬架控制中,提出了车辆半主动悬架一种新的自适应预测控制算法,采用模型预测、滚动优化、反馈校正实现目标函数的最优控制,同时对路面变化、模型误差均具有自适应能力。仿真研究证实了算法的有效性。

关键词: 汽车工程, 半主动悬架, 广义预测控制, 滚动优化, 多目标控制

Abstract: The ride comfort and road holding of vehicle can be obviously improved by using the semi-active suspension. With the constraint of suspension travel and damping coefficient variance, a control algorithm is used to dynamically optimize the vibration acceleration and wheel dynamic load according to the variance of road irregularity and vehicle velocity. The optimal control law is adaptive to the model error caused by the vehicle load variance, variance of suspension component, etc. The generalized predictive control (GPC) is used for vehicle semi-active suspension, which utilized model prediction, rolling optimization, and feedback compensation to optimize the objective function. Simulation results show that the resulting system can provide better control performance.

Key words: automotive engineering, semi-active suspension, generalized predictive control, rolling optimization, multi objective control

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