Influence of CMAC Driver Model on Vehicle Rollover Stability

付林凯; 金智林

doi:10.13433/j.cnki.1003-8728.20230127

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Influence of CMAC Driver Model on Vehicle Rollover Stability

更新时间：2026-07-10

- Influence of CMAC Driver Model on Vehicle Rollover Stability
- Mechanical Science and Technology for Aerospace Engineering Vol. 43, Issue 11, Pages: 1827-1834(2024)
- 作者机构：
  
  南京航空航天大学能源与动力学院,南京,210016
- 作者简介：
- 基金信息：
- DOI：10.13433/j.cnki.1003-8728.20230127
  CLC： U461.91
- Published：2024
- 稿件说明：
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付林凯, 金智林. Influence of CMAC Driver Model on Vehicle Rollover Stability[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(11): 1827-1834.
DOI：

付林凯, 金智林. Influence of CMAC Driver Model on Vehicle Rollover Stability[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(11): 1827-1834. DOI： 10.13433/j.cnki.1003-8728.20230127.

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。

Abstract

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.

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