摘要
针对分布式驱动汽车在极限工况下易出现失稳问题,提出了基于模糊滑模控制的车辆横摆稳定性策略。控制方案采用分层设计,上层控制模块利用模糊滑模理论求出车辆理想状态下的附加横摆力矩;下层考虑驱动电机输出最大力矩和路面附着约束条件,以降低轮胎纵向利用率为目标优化分配各车轮转矩。通过CarSim-MATLAB/Simulink联合仿真平台进行双移线工况仿真试验,结果表明,该控制策略下的车辆横摆稳定性显著提升。
Aiming at the problem that distributed electric vehicles are prone to instability under extreme conditions,a vehicle yaw stability control strategy based on fuzzy sliding mode control is proposed.The control scheme adopts layered design while the upper control module uses the fuzzy sliding mode theory to find the additional yaw moment in the ideal state of the vehicle;Considering the maximum torque of the driving motor and the road adhesion constraints,optimize the distribution of wheel torques with the goal of reducing tire longitudinal utilization.With the simulation experiment of double shift line condition on CarSim-MATLAB/Simulink joint simulation platform,the results show that vehicle yaw stability significantly improves under this control strategy.
作者
李林丰
雷良育
胡永伟
Li Linfeng;Lei Liangyu;Hu Yongwei(Zhejiang A&F University,Hangzhou City,Zhejiang Province 310000,China)
出处
《农业装备与车辆工程》
2020年第5期72-75,共4页
Agricultural Equipment & Vehicle Engineering
关键词
分布式
电动汽车
横摆稳定性
横摆力矩
模糊滑模
distributed
electric vehicle
yaw stability
yaw moment
fuzzy sliding mode
