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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers. Part K, Journal of Multi-body Dynamics >Development of a neuromuscular driver model with an estimation of steering torque feedback in vehicle steer-by-wire systems
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Development of a neuromuscular driver model with an estimation of steering torque feedback in vehicle steer-by-wire systems

机译:估计线控转向系统中带有转向扭矩反馈的神经肌肉驾驶员模型的开发

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摘要

In this paper, a neuromuscular driver model for sensing torque feedback or haptic interaction between the vehicle equipped with steer-by-wire (SBW) system and the driver has been developed. The proposed driver model consists of a preview model and a neuromuscular model. The preview driver model calculates the desired angle of the steering-wheel to follow the path, and the neuromuscular driver model, with the ability of perceiving real-time torque feedback, determines the real angle of the steering-wheel angle according to muscular system transfer functions to follow the desired steering-wheel angle. In order to calculate torques on the steering-wheel, the lateral tyre-road forces are estimated by Kalman filter designed using a linear 2-DOF vehicle model. So, the design of the neuromuscular driver model combined with torque feedback estimation is the main contribution of this paper. The simulation results from TruckSim and Simulink software indicate that the novel designed driver model with torque feedback estimation has an important role in the controlling and steering vehicle to follow the desired paths.
机译:在本文中,已经开发了用于感测配备线控转向(SBW)系统的车辆与驾驶员之间的扭矩反馈或触觉相互作用的神经肌肉驾驶员模型。提出的驱动程序模型包括预览模型和神经肌肉模型。预览驾驶员模型计算方向盘的期望角度以遵循该路径,而神经肌肉驾驶员模型具有感知实时扭矩反馈的能力,可以根据肌肉系统传递来确定方向盘角度的真实角度功能可跟随所需的方向盘角度。为了计算方向盘上的扭矩,通过使用线性2-DOF车辆模型设计的卡尔曼滤波器估算轮胎横向力。因此,结合扭矩反馈估计的神经肌肉驱动器模型的设计是本文的主要贡献。来自TruckSim和Simulink软件的仿真结果表明,带有扭矩反馈估计的新颖设计的驾驶员模型在控制和转向车辆遵循所需路径方面具有重要作用。

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