四轮轮毂电机电动车横摆力矩参数自调整模糊控制  

Yaw Moment Control for Motor Electric Vehicle with Four-Wheel Hub Based on Parameter Self-Regulation Fuzzy Control

作　　者：李刚[1] 韩海兰[1] 

机构地区：[1]辽宁工业大学汽车与交通工程学院,辽宁锦州121001

出　　处：《华侨大学学报（自然科学版）》2015年第4期365-370,共6页Journal of Huaqiao University(Natural Science)

基　　金：国家自然科学基金青年科学基金资助项目(51305190);吉林大学汽车国家重点实验室开放基金资助项目(20111104)

摘　　要：针对四轮轮毂电机电动车横摆力矩控制问题,进行横摆力矩参数自调整模糊控制研究,确定整车横摆力矩分层控制结构.基于参数自调整模糊控制理论设计附加横摆力矩决策控制器.利用四轮驱动力矩独立可控的优势,采用规则分配方法进行四轮驱动力分配,并通过CarSim与Matlab/Simulink联合仿真实验,选取连续正弦方向盘转角输入工况对控制方法进行验证.结果表明:四轮轮毂电机横摆力矩参数自调整模糊控制方法能够有效提高车辆行驶稳定性.For the yaw moment control of motor electric vehicle with four-wheel motor,the parameter self-regulation fuzzy control theory is studied in this paper.And the yaw moment hierarchical control structure of the vehicle is determined.The additional yaw moment decision-making controller is designed based on parameter self-regulation adaptive fuzzy control theory.Taking advantage of the independent control of the four-wheel driving torqu,rule allocation method is used for four-wheel driving forces distribution.Using CarSim and Matlab/Simulink co-simulation test,the control method is verified by selecting the input mode of the continuous sine steering wheel angle.The results show that the yaw moment based on parameter self-regulation fuzzy control method can improve vehicle driving stability effectively.

关 键 词：四轮轮毂 电机电动车 横摆力矩 参数自调整 规则分配 行驶稳定性 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]