• CN:11-2187/TH
  • ISSN:0577-6686

›› 2011, Vol. 47 ›› Issue (16): 86-92.

• 论文 • 上一篇    下一篇

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基于ADAMS与Matlab的车辆稳定性控制联合仿真研究

宋宇;陈无畏;陈黎卿   

  1. 合肥工业大学机械与汽车工程学院;安徽农业大学工学院
  • 发布日期:2011-08-20

Study on Co-simulation of Vehicle Stability Control Based on ADAMS and Matlab

SONG Yu;CHEN Wuwei;CHEN Liqing   

  1. School of Mechanical and Automobile Engineering, Hefei University of Technology School of Engineering, Anhui Agricultural University
  • Published:2011-08-20

摘要: 通过ADAMS/Car软件建立车辆虚拟样机模型,设计出一种基于横摆角速度反馈的稳定性控制系统,此系统由四轮制动逻辑控制器和单轮制动力PID控制器组成,并同防抱死刹车系统(Anti-locked braking system, ABS)的轮胎滑移率控制相结合以防止车轮失稳,进行ADAMS与Matlab联合仿真分析。控制系统中,逻辑控制器只需两路信号,不需要对四个车轮进行独立控制,PID控制器设计为使能子系统,接收逻辑控制器发出的激活信号,而ABS控制器当车轮滑移率小于限定值时方解除控制状态,执行稳定性控制逻辑。理论分析和仿真结果表明,构建的车辆稳定性控制系统是一个行之有效的进行综合仿真和优化控制的系统,所采用的联合仿真方法是正确有效的,由ABS系统和PID控制策略组成的控制系统有效提高了车辆的稳定性,所得结果为稳定性控制在车辆工程中的实际应用提供了参考。

关键词: ADAMS, Matlab, 车辆稳定性控制, 联合仿真, 虚拟样机

Abstract: This paper built a vehicle virtual prototype model with ADAMS/Car and designed a new vehicle stability control system based on yaw rate feedback. This system was consisted of a four-wheel braking logic controller and a monowheel braking PID controller, the anti-locked braking system(ABS) controlled the tire slip rate in order to prevent wheel destabilization, and performed the co-simulations based on ADAMS and Matalb. In the control system, the logic controller just need two channel signals taking the place of four wheels independent control signals, the PID controller was designed to be a enable subsystem receiving the activation signal from the logic controller, and the ABS controller was designed to remove the control behaviour and execute the stability control logic when the tire slip rate less than the limited value. The theoretical analysis and simulation results showed that the vehicle stability system which is made up of an ABS system and a PID control scheme has a better performance on improving the vehicle’s stability, the co-simulation conclusions provide a reference for practical application of the stability control in vehicle engineering.

Key words: ADAMS, Co-simulation, Matlab, Vehicle stability control, Virtual prototype

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