东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2006, Vol. 27 ›› Issue (1): 72-75.DOI: -

• 论著 • 上一篇    下一篇

基于ADAMS机械模型的车辆主动悬架控制策略与仿真

杨英;刘刚;赵广耀;   

  1. 东北大学机械工程与自动化学院;沈阳航空工业学院;东北大学机械工程与自动化学院 辽宁沈阳110004;辽宁沈阳110334;辽宁沈阳110004
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2006-01-15 发布日期:2013-06-23
  • 通讯作者: Yang, Y.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(10402008)

Control strategy based on ADAMS mechanical model for vehicle's active suspension and simulation

Yang, Ying (1); Liu, Gang (2); Zhao, Guang-Yao (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China; (2) Shenyang Institute of Aeronautical Engineering, Shenyang 110034, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-01-15 Published:2013-06-23
  • Contact: Yang, Y.
  • About author:-
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摘要： 利用ADAMS软件建立了四分之一汽车主动悬架的机械模型,在机械模型的基础上生成车辆主动悬架系统的动力学方程,该方法解决了主动悬架数学模型建立的难题.使机械设计和控制设计共享同一虚拟车辆主动悬架模型,机械系统设计和控制系统设计协调一致.采用自适应模糊PID控制策略对悬架控制,实现了PID控制过程中参数的在线自整定,从而使系统的控制性能更加完善.利用ADAMS的Controls模块实现了ADAMS与MATLAB的联合仿真,仿真结果表明,采用自适应模糊PID控制策略是合理的、可行的,与被动悬架控制相比有效地降低了车身加速度、悬架动挠度和轮胎的相对动载荷,提高了汽车的乘坐舒适性和操纵稳定性.

关键词: 机械模型, 主动悬架, ADAMS, 控制策略, 模糊控制

Abstract: The dynamic performance of suspension system directly affects rider's comfort and driving stability of vehicles. Suspension is developed with relevant dynamic expression given to the suspension system. Thus, the mechanical and control designs are both available to share the active suspension model of a virtual vehicle so as to make both compatible with each other. The self-adaptive fuzzy PID control strategy is introduced to the suspension control to realize the online self-setting of all parameters in PID control process. The controls module in ADAMS was used to realize the joint simulation of ADAMS and MATLAB, of which the results showed that the self-adaptive fuzzy PID control strategy is reasonable and feasible. Compare with the passive suspension control, the control strategy will decrease effectively the acceleration of vehicle body, as well as the dynamic flexibility of suspension and relative dynamic load on tyres.

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