基于ADAMS的智能汽车自动化操纵稳定性研究与分析

Research and analysis of intelligent vehicle automation handling stability based on ADAMS

为提高智能汽车自动化操纵稳定性,提出基于ADAMS的智能汽车自动化操纵稳定性控制方法。构建汽车操纵被控对象模型,以碰撞检测值、峰值载荷、静力学参考值、运动学特征为约束参量,构建汽车自动化操纵稳定性控制的约束参量模型,采用机械系统动力学自动分析方法进行智能汽车自动化操纵稳定性控制研究。根据汽车自动化操纵过程中产生的运动学偏差进行反馈调节,构建汽车操纵控制的稳定性力学分析模型,采用滑模积分模糊控制方法实现智能汽车自动化操纵稳定性控制。仿真结果表明,采用该方法进行智能汽车自动化操纵控制的输出稳定性较好,操纵精度较高。

In order to improve the automatic handling stability of intelligent vehicle,a method of intelligent vehicle automatic handling and stability control based on ADAMS is put forward. The object model of vehicle control is constructed to detect the collision value,the peak load and the reference value of statics. The kinematics characteristic is a constraint parameter,and the constraint parameter model of auto automatic handling and stability control is constructed.The automatic analysis method of mechanical system dynamics is used to study the automatic handling and stability control of intelligent automobile,and the feedback adjustment is carried out according to the kinematics deviation produced in the process of automatic control. The stability mechanics analysis model of vehicle handling control is constructed,and the sliding mode integral fuzzy control method is used to realize the intelligent vehicle automatic handling and stability control. The simulation results show that,using this method,the output stability and precision of intelligent vehicle automatic control are better.