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Implementation of phase lead controller for lane following system based on identified vehicle lateral model

机译:基于识别出的车辆横向模型的车道跟踪系统相位超前控制器的实现

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Vehicle lateral controllers are general designed based on a simplified lateral model, known as bicycle model. However, some of parameters of the bicycle model are difficult to estimate accurately such as cornering stiffness and moment of inertia. Furthermore, some expensive sensors are required for estimating these parameters such as GPS/inertial sensors, wheel force transducers. The paper studies a practical method for identifying lateral model and a phase lead controller implemented in a real vehicle is designed based on the identified model. The identified lateral model is in the form of a discrete-time transfer function, which is conducive to practical identification and digital controller design. The transfer function is derived from a bicycle model. The input and the output of the transfer function are the steering wheel angle and the lateral offset at a look-ahead distance respectively. The data for identification are provided by the electric power steering system and the lane detection system using a camera without the requirement of expensive sensors. The feedback signal of the controller is also based on the lane detection system. The identified model is validated successfully by the experimental data. The phase lead controller is carried out in a real vehicle and experiment results show that the phase lead controller works well.
机译:车辆横向控制器通常基于简化的横向模型(称为自行车模型)进行设计。但是,自行车模型的某些参数很难准确估算,例如转弯刚度和惯性矩。此外,需要一些昂贵的传感器来估计这些参数,例如GPS /惯性传感器,车轮力传感器。本文研究了一种用于识别横向模型的实用方法,并基于所识别的模型设计了在实际车辆中实现的相位超前控制器。所识别的横向模型采用离散时间传递函数的形式,这有助于实际的识别和数字控制器设计。传递函数源自自行车模型。传递函数的输入和输出分别是方向盘角度和前向距离处的横向偏移。用于识别的数据由电动助力转向系统和车道检测系统使用摄像头提供,无需昂贵的传感器。控制器的反馈信号也基于车道检测系统。实验数据成功验证了所识别的模型。该相位超前控制器是在真实的车辆中进行的,实验结果表明该相位超前控制器工作良好。

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