考虑驾驶员行为估计的电动汽车共享转向力矩系统研究

M. Khalfaoui, K. Hartani, A. Merah, N. Aouadj
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引用次数: 8

摘要

本文提出了一种开发电动汽车车道保持预防驾驶辅助系统的新方法。它用于在驾驶员性能下降(疲劳、困倦或注意力不集中)时增加驾驶员的转向扭矩。在驾驶员控制模型的基础上,利用扩展卡尔曼滤波对驾驶员行为进行估计。设计了一个最优线性二次型调节器(LQR)控制器,通过最小化包含与电动汽车和驾驶员行为相关的所有信号的成本函数,对方向盘施加校正的转向扭矩。采用MATLAB/Simulink环境在某电动汽车上实现了基于三自由度的控制器模型。通过仿真试验进一步评价了驾驶员与主动转向转矩控制器之间的协同操作性能。
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Development of shared steering torque system of electric vehicles in presence of driver behaviour estimation
This paper proposes a new approach to develop a preventive driver assistance system for lane keeping of electric vehicle. It is used to add a steering torque to that of the driver when there is degradation in driver performance (fatigue, drowsiness or inattention). Based on cybernetic model of driver, the driver's behaviour has been estimated by using extended Kalman filter. An optimal linear quadratic regulator (LQR) controller is designed to impose a corrected steering torque on the steering wheel by minimising the cost function that contains all signals related to the electric vehicle and the driver's behaviour. The proposed controller model based on three degrees of freedom has been implemented on an electric vehicle using MATLAB/Simulink environment. The performance of the cooperative operation between the driver and the active steering torque controller is further evaluated by simulation tests.
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来源期刊
International Journal of Vehicle Autonomous Systems
International Journal of Vehicle Autonomous Systems Engineering-Automotive Engineering
CiteScore
1.30
自引率
0.00%
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0
期刊介绍: The IJVAS provides an international forum and refereed reference in the field of vehicle autonomous systems research and development.
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