“车适应人”线控汽车理想特性参考模型神经网络建模

针对线控汽车上通过对各个线控系统地集成控制以实现个性化理想汽车动力学特性即"车适应人"问题,进行了线控汽车理想特性参考模型神经网络建模研究。对驾驶员特性进行了初步分类,给出了汽车理想特性控制原理;设计了汽车驾驶模拟器实验,进行了理想特性参考模型神经网络建模;对模型精度、特性反映程度和实时性进行了实验验证。研究表明,所建立的理想特性参考模型精度高、实时性好,能反映不同驾驶特性,建模方法具有可行性。

Neural network modeling of ideal characteristics reference model for "car adaption for driver" X-by-wire vehicle

This paper studied on the neural network modeling of X-by-wire vehicle ideal characteristics reference model to achieve "car adaption for driver",which are achieved by integrating the X-by-wire systems.The driver characteristics were classified and the control principle of car ideal characteristics was given.The car driving simulator experiment was designed and the neural network modeling for the ideal characteristics reference model was studied.The accuracy of model,degree of reflecting characteristics and real-time of model were verified by experiments.The results show that the reference model with ideal characteristics has high precision,real-time and can reflect different driving characteristics,so the method is feasible.