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
Key words
driver model/vehicle rollover stability/cerebellar model articulation controller/fuzzy PID
维普
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