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.
作者
李韶华
张培强
冯桂珍
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)
出处
《力学与实践》
北大核心
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。
关键词
主动悬架
T–S模糊控制
轮毂电机
工况自适应
active suspension
T–S fuzzy control
in-wheel motor
operation self-adaptivity
