%0 Journal Article
%T 基于路面识别的车辆半主动悬架控制
%A 秦也辰
%A 董明明
%A 赵丰
%A 顾亮
%J 东北大学学报（自然科学版）
%D 2016
%R 10.12068/j.issn.1005-3026.2016.08.016
%X 摘要 以实现悬架自适应半主动控制为目的，基于多目标优化算法及路面识别，针对车辆平顺性与操纵稳定性进行研究.首先建立1/4车辆等效天棚控制模型，并根据系统动力学关系推导车辆簧载质量加速度及轮胎动载荷的解析解表达式，然后利用基于遗传算法的多目标优化算法求取Pareto最优解集.依据路面识别得到的路面等级分配控制权重，以获得不同路面对应的控制增益.仿真结果显示，基于路面识别的半主动悬架自适应控制系统能够通过调节权重获得不同路面行驶条件下平顺性与操纵稳定性之间的平衡.</br>Abstract：To realize suspension semi-active adaptive control and the compromise between ride comfort and control stability， an algorithm based on multi-objective optimization and road recognition was proposed. Firstly， we built an equivalent quarter vehicle model with skyhook control， and established analytical descriptions， based on the system dynamics， for vehicle sprung mass acceleration and tire force. Then， a genetic-based multi-objective optimization method was used to calculate the Pareto optimal solutions. Different weights were assigned for different road level to obtain the corresponding control gains. Simulation results show that the as-proposed adaptive control strategy can achieve the balance between ride comfort and control stability for varying road levels.
%K 悬架半主动控制
%K 多目标优化
%K 路面等级识别
%K 平顺性
%K 操纵稳定性&lt
%K /br&gt
%K Key words： suspension semi-active control multi-objective optimization road classification ride comfort control stability
%U http://xuebao.neu.edu.cn/natural/CN/abstract/abstract9942.shtml