一种减轻装有EPS汽车转向扭矩的控制策略

本文提出了一种新的电动助力转向系统的控制策略,以减小车辆静止时改变方向所需的转向力。以前尝试通过减少不良的转向振动来减少转向扭矩失败的原因是因为高辅助增益往往会产生震荡或增加噪声敏感性。为了消除此种振动,开发出一种基于控制齿轮角速度的控制策略,它是在简化的转向模型的基础上开发出来的。这个实验获得了很好的齿轮角速度的估计值,这样就有可能消除方向盘所有旋转速度下的振动。实验证明在方向盘大转速变换下,转向扭矩显著降低,无振动传输给司机。所提出的控制策略使用一个辅助来获得超过原来的三倍以上的增益。此外,所提出的控制策略不需要补充传感器。     

电动助力转向系统开发平台的仿真分析

本文提出了一种基于电动伺服缸加载的电动助力转向系统实验平台,并对该实验台进行数学建模,建立了其整体仿真模型,模拟分析了车辆在实际运行中轮胎力的变化以及EPS的动态特性响应。     

关于带误差的Ishikawa迭代过程

在一致凸Banach空间中研究了非扩张映射序列的带误差Ishikawa迭代过程的构造和收敛问题,推广了近期的结果。     

独立轮对耦合转向架导向性能

提出了一种新型的独立轮对转向架方案——独立轮对耦合转向架.理论分析表明,独立轮对耦合转向架不仅在曲线上具有很好的径向调节功能,而且在直线上也具有良好的复位性能,说明独立轮对耦合转向架能解决独立轮对的导向问题.建立了独立轮对耦合转向架的动力学仿真模型,以分析该转向架的动态导向性能.仿真结果与理论分析结果吻合.     

日本地铁用导向转向架的开发

介绍了日本东京地铁公司开发的导向转向架的概况和工作原理。该转向架经过台架试验、公司内部曲线段实车试验和在营业线上试运用,确认了其功能和导向装置零部件的性能及可靠性。     

Vehicle rollover avoidance by application of gain-scheduled LQR controllers using state observers

Many researches have been conducted in the area of control applied to vehicle dynamics, aiming at reducing the possibility of the occurrence of the type of accident known as rollover. In this research, based on a common nonlinear model and its linearisation, a method for properly selecting matrices for solving the Riccati equation considering different speeds was proposed. The method showed in which ways speed really influences the choice of controller gains. By developing the dynamic equations for the yaw- and roll-coupled motions and modelling of controllers and state observers, it is possible to compare the efficacy of this control strategy using both linear and nonlinear simulations using Matlab. Significant results were obtained regarding the reduction of the rollover coefficient for a double-lane change manoeuvre at different speeds, thus indicating advantages of using this controller in practical cases.     

液压助力转向泵模拟加载装置测控系统开发

为了在发动机台架试验中能够按照试验规范控制液压助力转向泵的载荷,研制了转向泵模拟加载装置测控系统.该系统由基于16位微控制器的测控单元、伺服驱动器和工控机组成,利用以太网实现上、下位机通信,实时测量油压、油温和转向阻力等参数,根据获取的发动机台架控制系统试验开始标志来保持时间同步,通过控制机械转向器的转角来调节转向泵的载荷.试验结果表明,测控系统完全满足发动机试验中对转向泵连续加载要求.     

A theoretical model of speed-dependent steering torque for rolling tyres

ABSTRACT

It is well known that the tyre steering torque is highly dependent on the tyre rolling speed. In limited cases, i.e. parking manoeuvre, the steering torque approaches the maximum. With the increasing tyre speed, the steering torque decreased rapidly. Accurate modelling of the speed-dependent behaviour for the tyre steering torque is a key factor to calibrate the electric power steering (EPS) system and tune the handling performance of vehicles. However, no satisfactory theoretical model can be found in the existing literature to explain this phenomenon. This paper proposes a new theoretical framework to model this important tyre behaviour, which includes three key factors: (1) tyre three-dimensional transient rolling kinematics with turn-slip; (2) dynamical force and moment generation; and (3) the mixed Lagrange–Euler method for contact deformation solving. A nonlinear finite-element code has been developed to implement the proposed approach. It can be found that the main mechanism for the speed-dependent steering torque is due to turn-slip-related kinematics. This paper provides a theory to explain the complex mechanism of the tyre steering torque generation, which helps to understand the speed-dependent tyre steering torque, tyre road feeling and EPS calibration.     

Practicability study on the suitability of artificial,neural networks for the approximation of unknown steering torques

For steer-by-wire systems, the steering feedback must be generated artificially due to the system characteristics. Classical control concepts require operating-point driven optimisations as well as increased calibration efforts in order to adequately simulate the steering torque in all driving states. Artificial neural networks (ANNs) are an innovative control concept; they are capable of learning arbitrary non-linear correlations without complex knowledge of physical dependencies. The present study investigates the suitability of neural networks for approximating unknown steering torques. To ensure robust processing of arbitrary data, network training with a sufficient volume of training data is required, that represents the relation between the input and target values in a wide range. The data were recorded in the course of various test drives. In this research, a variety of network topologies were trained, analysed and evaluated. Though the fundamental suitability of ANNs for the present control task was demonstrated.     

Mazda6轿车转向传感器信号的simulink识别

转向传感器信号是车辆控制系统的重要输入信号,但转向传感器的输出不是直接给出转向角大小而是方波信号。为了探究转向传感器原理以及Mazda6轿车实际转向过程中转向传感器信号,本文将介绍如何用simulink来识别该方波信号,输出转向角,最后用该方法识别出实际转向过程的转向角大小。