基于离散滑模预测控制算法的分布式驱动电动汽车ARS和DYC协调控制Coordinated Control of ARS and DYC for Distributed Drive Electric Vehicle Based on DSMPC Method
周迈,赵蕊,宋廷伦
摘要(Abstract):
针对直接横摆力矩控制(DYC)过度介入导致轮胎磨损与滑移损失的问题,提出一种综合转矩协调和主动后轮转向(ARS)的底盘协同控制策略。该策略采用分层式架构设计:上层控制器使用带有高阶扰动补偿的自适应离散参考滑膜轨迹,处理车辆建模时忽略的非线性因素和外界不确定扰动,利用离散滑模预测控制(DSMPC)算法计算广义力和广义力矩;下层控制器根据质心侧偏角相平面失稳误差和横摆角速度跟踪误差,将上层控制器的控制量合理分配至ARS和DYC系统。通过CarSim/Simulink联合仿真,双移线工况下的验证结果表明:相较于原始DYC控制策略,所提出的策略在干燥路面和湿滑路面的轮胎纵向滑移损失分别降低41.65%和15.68%,在提高操纵稳定性的同时,能够有效削弱控制器抖振问题。
关键词(KeyWords):
基金项目(Foundation):
作者(Author): 周迈,赵蕊,宋廷伦
DOI: 10.19620/j.cnki.1000-3703.20250118
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