分布式驱动电动汽车主动悬架T–S模糊控制研究  

T–S FUZZY CONTROL FOR ACTIVE SUSPENSION OF DISTRIBUTED DRIVE ELECTRIC VEHICLE

作　　者：李韶华[1] 张培强 冯桂珍[1,2] 韩翔宇 LI Shaohua;ZHANG Peiqiang;FENG Guizhen;HAN Xiangyu(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)

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

出　　处：《力学与实践》2023年第1期22-32,共11页Mechanics in Engineering

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

摘　　要：分布式驱动电动汽车,由于簧下质量增大,导致车轮振动加剧,进而影响车辆平顺性及行驶安全性。为有效抑制分布式驱动电动汽车垂向振动恶化,设计了一种主动悬架T-S模糊控制器,构建了分布式驱动电动汽车1/4悬架动力学模型,基于Matlab/Simulink在B级随机路面及变路面工况下进行动力学仿真,考虑了控制器在车辆参数不确定时的自适应性,探究了T-S模糊控制器在车辆变参数条件下的控制效果,并与PID控制的主动悬架及传统的被动悬架进行比较,通过硬件在环实验验证了控制效果。结果表明,所提出的分布式驱动电动汽车主动悬架T-S模糊控制策略可有效提升车辆的平顺性指标,相对于PID控制及被动悬架,T-S模糊控制也具有更好的多工况自适应能力。In order to solve the problem of vertical vibration aggravation of electric vehicle driven by in-wheel motor, a T-S fuzzy control strategy is designed for active suspension based on the quarter-car model. Dynamic analysis is carried under B-class random road and variable road excitations, considering the adaptability of the controller when vehicle parameters are uncertain, and the control effect of T-S fuzzy controller is studied when vehicle parameters are changing. The proposed T- S fuzzy control is compared with PID control and passive suspension, and the effect of this controller is verified by hardware in the loop experiment. The results show that the proposed T- S fuzzy control strategy can effectively improve vehicle ride comfort and has better multicondition adaptability than PID control.

关 键 词：主动悬架 T–S模糊控制 轮毂电机 工况自适应 

分 类 号：U461.4[机械工程—车辆工程]