| 一种车辆主动横摆力矩的神经网络控制方法 |
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| 引用本文： | 高利,李剑峰.一种车辆主动横摆力矩的神经网络控制方法[J].江苏大学学报(自然科学版),2007,28(1):17-20. |
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| 作者姓名： | 高利 李剑峰 |
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| 作者单位： | 北京理工大学,机械与车辆工程学院,北京,100081 |
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| 摘 要： | 用二自由度车辆动力学状态方程建立了车辆横摆角速度跟踪控制模型．用横摆角速度与其期望值的差值建立了该问题的性能指标并设计了神经网络控制器，用该模型计算了车辆在急速转向操纵时的横摆角速度以及车辆质心的侧偏角响应，计算结果表明此时车辆的操纵稳定性得到了有效改善．最后给出了进一步研究工作所要采用的半实物仿真试验的设计。
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| 关 键 词： | 车辆动力学模型 横摆角速度 侧向响应 神经网络控制 跟踪控制 |
| 文章编号： | 1671-7775(2007)01-0017-04 |
| 修稿时间： | 2006年3月22日 |
Neural network control approach for vehicle active yaw moment |
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| GAO Li,LI Jian-feng.Neural network control approach for vehicle active yaw moment[J].Journal of Jiangsu University:Natural Science Edition,2007,28(1):17-20. |
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| Authors: | GAO Li LI Jian-feng |
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| Abstract: | A yaw rate tracking control model has been developed based on two degrees of freedom vehicle dynamic state equation.By using the differential term between the yaw rate value and the desired value,a performance index was given and the neural network controller was designed.The proposed model was employed to calculate the yaw angular velocity and slip angle response characteristics of a vehicle under severe cornering maneuver.It shows that the handling stability is significantly improved as compared to the uncontrolled one.At last,the design of a semi-physical simulation experiment for further study is described. |
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| Keywords: | vehicle dynamical model yaw rate lateral response neural network control tracking control |
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