轮毂电机驱动电动汽车主动悬架T-S变论域模糊控制研究  

Research on T-S variable domain fuzzy control of active suspension on the electric vehicle driven by an in-wheel motor

作　　者：李韶华[1] 张培强 杨建森 LI Shaohua;ZHANG Peiqiang;YANG Jiansen(State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;School of Mechanical Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;CATARC(Tianjin)Automotive Engineering Research Institute,Tianjin 300300,China)

机构地区：[1]石家庄铁道大学省部共建交通工程结构力学行为与系统安全国家重点实验室,石家庄050043 [2]石家庄铁道大学机械工程学院,石家庄050043 [3]中汽研(天津)汽车工程研究院有限公司,天津300300

出　　处：《振动与冲击》2022年第24期201-209,共9页Journal of Vibration and Shock

基　　金：国家自然科学基金(11972238);河北省重点研发计划(21342202D)。

摘　　要：为解决轮毂电机驱动电动汽车垂向振动加剧的问题。针对主动悬架设计了一种基于T-S(Takagi-Sugeno)模糊思想的变论域模糊控制策略,改进了伸缩因子的设计方法,以提升控制精度及多工况下的自适应能力;基于1/4车辆模型在随机路面和对接路面上进行动力学分析,将所提出的T-S变论域模糊控制策略与单一的T-S模糊控制、Mamdani变论域模糊控制进行对比,并通过硬件在环试验验证了所提控制策略的效果。结果表明,所提出的主动悬架T-S变论域模糊控制策略可有效提升车辆的平顺性,相对于单一模糊控制和Mamdani变论域模糊控制具有较好的多工况适应性。In order to solve the problem of vertical vibration aggravation of the electric vehicle driven by an in-wheel motor,a variable domain fuzzy control strategy based on T-S(Takagi-Sugeno)fuzzy was designed for active suspension,and the design method of contraction-expansion factors was modified to improve the control accuracy and self-adaptability of the controller under multiple working conditions.Based on the quarter-car model,the dynamic analysis was carried under random road and joint road excitations.The proposed T-S variable domain fuzzy control was compared with single T-S fuzzy control and Mamdani variable domain fuzzy control,the effect of this new controller was verified by hardware in the loop experiment.Results show that the T-S variable domain fuzzy control can effectively improve vehicle ride comfort,and has better multi-condition adaptability than single T-S fuzzy control,and Mamdani variable domain fuzzy control.

关 键 词：主动悬架 轮毂电机 变论域 T-S模糊控制 自适应 

分 类 号：TH212[机械工程—机械制造及自动化] TH213.3