驾驶员CMAC模型及对汽车侧翻稳定性影响  

Influence of CMAC Driver Model on Vehicle Rollover Stability

作　　者：付林凯 金智林[1] FU Linkai;JIN Zhilin(School of Energy and Power,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学能源与动力学院,南京210016

出　　处：《机械科学与技术》2024年第11期1827-1834,共8页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(51775269);江苏省自然科学基金项目(BK20211190)。

摘　　要：驾驶员操纵转向行为严重影响汽车侧翻安全。为准确分析驾驶员因素对汽车侧翻稳定性的影响,研究了防侧翻的CMAC驾驶员模型,分析了驾驶员参数对汽车侧翻稳定性的影响规律。根据汽车侧翻动力学模型推导了侧翻稳定性指标及指标的参考值;设计了小脑模型关节控制器局部性神经网络方法模拟驾驶员实际防侧翻决策,模糊PID算法模拟驾驶员防侧翻参考决策,从而获得驾驶员防侧翻反应模型;采用参数化方式表征了驾驶员的分析能力、驾驶频次、学习能力及反应能力;选取恶劣行驶工况进行仿真,结果表明分析能力强、驾驶频次多、学习能力强、反应能力强的驾驶员防侧翻时,可在恰当的时间决策出适当的方向盘修正转角,有效防止汽车侧翻。TThe driver's steering behaviour seriously affects the safety of vehicle rollover.In order to accurately analyse the influence of driver's factors on vehicle rollover stability,the driver model of cerebellar model articulation controller(CMAC)for anti-rollover is studied,and the influence law of driver parameters on vehicle rollover stability is analysed.According to vehicle rollover dynamic model,the vehicle rollover stability index and its reference value are deduced.The local neural network method of cerebellar model articulation controller is designed to simulate the driver's actual anti-rollover decision.And the fuzzy PID controller is used to simulate the driver's anti-rollover reference decision.The driver's anti-rollover response model is obtained based on above results,so the driver's analysis ability,driving frequency,learning ability,and reaction ability are characterized by parameters.The simulation results show that the driver with strong analysis ability,frequent driving,strong learning ability and strong reaction ability can effectively prevent vehicle rollover by making an appropriate steering wheel correction angle at the right time.

关 键 词：驾驶员模型 汽车侧翻稳定性 小脑模型关节控制器 模糊PID 

分 类 号：U461.91[机械工程—车辆工程]