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。基于四分之一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，并通过硬件在环实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。
Abstract
In order to solve the problem of vertical vibration aggravation of electric vehicle driven by in-wheel motor, a variable domain fuzzy control strategy based on T-S fuzzy is designed for active suspension, and the design method of contraction-expansion factors is 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 is carried under random road and joint road excitations. The proposed T-S variable domain fuzzy control is compared with single T-S fuzzy control and Mamdani variable domain fuzzy control, the effect of this new controller is verified by hardware in the loop experiment. The 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
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Key words
active suspension /
in-wheel motor /
variable domain /
T-S fuzzy control /
adaptive control
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参考文献
[1] 庞辉，梁军，王建平，等.考虑系统不确定性的车辆主动悬架自适应模糊滑模控制[J].振动与冲击，2018，37(15)：261-269.
PANG Hui , LIANG Jun , WANG Jian-ping , et al. Adaptive fuzzy sliding mode control for vehicle active suspension systems considering system uncertainty[J]. Journal of Vibration and Shock, 2018, 37(15):261-269.
[2] 夏光，杜克，谢海，等. 基于侧倾分级的叉车横向稳定性变论域模糊控制[J].机械工程学报，2019，55(12)：1139-1143+1151.
XIA Guang, DU Ke, XIE Hai, et al. Variable Universe Fuzzy Control for the Lateral Stability of Forklift Based on the Roll Classification[J]. Journal of Mechanical Engineering,2019, 55(12): 1139-1143+1151.
[3] Mzy A , Fa B . Ride Comfort-Road Holding Trade-off Improvement of Full Vehicle Active Suspension System by Interval Type-2 Fuzzy Control ScienceDirect[J]. Engineering Science and Technology, an International Journal, 2021, 24(1):259-270.
[4] 柳江，林晨，叶明，等.馈能悬架变论域模糊控制[J].上海交通大学学报，2016，50(08)：1139-1143+1151.
LIU Jiang, LIN Chen, YE Ming, et al. Variable Universe Fuzzy Control of Energy-Regenerative Suspension[J]. Journal of Shanghai Jiaotong University, 2016.
[5] 王大勇,王慧.基于变论域模糊控制的车辆半主动悬架控制方法[J].中国机械工程，2017，28(3)：366-372.
WANG Da-yong, WANG Hui . Control Method of Vehicle Semi Active Suspensions Based on Variable Universe Fuzzy Control[J]. China Mechanical Engineering, 2017,28(3):366-372.
[6] 刘非，李以农，郑玲.装甲车辆磁流变半主动悬架变论域模糊控制[J].汽车工程，2013,35(8)：735-739.
LIU Fei, LI Yi-nong, ZHENG Ling. Variable universe fuzzy control for the magneto-rheological semi-active suspension in armored vehicles[J]. Automotive Engineering, 2013, 35(8):735-739.
[7] 胡国良，林豪，李刚. 采用磁流变阻尼器的三自由度半主动座椅悬架系统变论域模糊控制[J].机械科学与技术，2020，39(3)：425-432.
HU Guo-liang, LIN Hao, LI Gang. Variable Universe Fuzzy Control of 3-DOF Semi-activeSeat Suspension System using Magnetorheological Damper[J]. Mechanical Science and Technology for Aerospace Engineering, 2020，39(3)：425-432.
[8] 庞辉，刘凡，王延.某越野汽车磁流变半主动悬架变论域模糊控制[J]. 振动.测试与诊断，2019，39(02)：311-319.
PANG Hui, LIU Fan, WANG Yan. Variable universe fuzzy control for magnetorheological semi-active suspension of an off-road vehicle [J]. Journal of Vibration， Measurement & Diagnosis, 2019, 39(02): 311-319+443-444
[9] 李韶华，赵俊武，张志达.某轻型卡车悬架系统减振器最优阻尼匹配[J].力学与实践，2018，40(1)：13-17,12
LI Shao-hua , Zhao Jun-wu , Zhang Zhi-da . OPTIMAL DAMPING MATCHING Of SHOCK ABSORBER FOR A LIGHT TRUCK SUSPENSION SYSTEM[J]. Mechanics in Engineering, 2018,40(1):13-17,12.
[10] 王凌云.基于Sugeno型模糊推理算法的模糊控制器及其应用[J].电子技术应用，2000(10)：31-33.
Wang Ling-yun. Fuzzy controller based on T-S fuzzy inference algorithm and its application. Application of Electronic Technique, 2000(10) :31-33.
[11] 肖建，赵涛.T-S模糊控制综述与展望[J]. 西南交通大学学报，2016，51(3)：462-474.
Xiao Jian, Zhao Tao. Overview and Prospect of T-S Fuzzy Control[J]. Journal of Southwest Jiaotong University, 2016, 51(3)：462-474.
[12] 陈龙, 马瑞, 王寿静，等. 车辆半主动悬架阻尼多模式切换控制研究[J]. 振动与冲击，2020，39(13)：148-155.
CHEN Long, MA Rui, WANG Shou-jing. Damping multi-mode switching control for a vehicle semi-active suspension[J]. Journal of Vibration and Shock, 2020, 39(13):148-155.
[13] 董明明.轮毂驱动电动汽车垂向振动抑制研究[C]// 2018中国汽车工程学会年会论文集.上海：中国汽车工程学会,2018.
DONG Ming-ming. Research on vertical vibration suppression of hub driven electric vehicles [a]. China Society of Automotive Engineers. Proceedings of 2018 annual meeting of China Society of Automotive Engineers [C]. China Society of Automotive Engineers, 2018:7.
[14] 寇发荣.车辆磁流变半主动座椅悬架的研制[J]. 振动与冲击, 2016，35(08)：244-249.
KOU Fa-rong. Development of vehicle semi-active seat suspension with magneto-rheological damper[J]. Journal of Vibration & Shock, 2016,35(08):244-249.
[15] 巩明德，颜鑫.采用路面识别方法的重型救援车辆主动悬架控制策略[J].西安交通大学学报，2019，53(2)：32-39.
GONG Ming-de, YAN Xin. A Control Strategy for Active Suspension of Heavy Rescue Vehicles Based on Road Level Estimation[J]. Journal of Xi'an Jiaotong University, 2019,53(2):32-39.
[16] 王刚，陈长征，于慎波.含路面预瞄信息的车辆主动悬架有限频域多目标控制[J].农业机械学报，2015， 46(12)：294-300.
WANG Gang, CHEN Chang-zheng, YU Shen-bo. Finite Frequency Multi-objective Control of Vehicle Active Suspension with Road Preview Information[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015,46(12):294-300.
[17] CAO Zhao-long, ZHENG Shuai, MR-SAS variable universe fuzzy control in steering situation based on wheelbase preview, Optik. 127 (2016): 9496–9503.
[18] QIN Li-shu, HU Jian-jun, LI Hong-xing, et al. Fuzzy Logic Controllers for Specialty Vehicles Using a Combination of Phase Plane Analysis and Variable Universe Approach[J]. IEEE Access, 2017, 5:1579-1588..
[19] 吴志成，陈思忠，杨林，等.基于有理函数的路面不平度时域模型研究[J].北京理工大学学报，2009，29(09)：795-798.
WU Zhi-Cheng, CHEN Si-zhong, YANG Lin, et al. Model of Road Roughness in Time Domain Based on Rational Function[J]. Transactions of Bjing Institute of Technology, 2009, 29(09):795-798.
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