| 预瞄优化神经网络驾驶员模型 |
| |
| 引用本文： | 郭孔辉,潘峰,马凤军.预瞄优化神经网络驾驶员模型[J].机械工程学报,2003,39(1):26-28. |
| |
| 作者姓名： | 郭孔辉 潘峰 马凤军 |
| |
| 作者单位： | 1. 吉林大学汽车动态模拟国家重点实验室,长春,130022
2. 中国运载火箭技术研究院十五所 |
| |
| 基金项目： | 国家自然科学基金资助项(59975041)。 |
| |
| 摘 要： | 根据预瞄跟随理论并结合真实驾驶员的学习目标、生理限制与不断优化的行为特性,建立了预瞄优化神经网络驾驶员模型。利用2自由度车辆模型进行了汽车在方向控制下的仿真计算。仿真结果表明,预瞄优化神经网络驾驶员模型与实际合格驾驶员行为非常相似,按照该理论建立的驾驶员模型可以应用于驾驶员-汽车闭环系统的研究和自动驾驶等智能车辆的控制。
|
| 关 键 词： | 预瞄优化 神经网络 驾驶员模型 闭环仿真 |
| 修稿时间： | 2001年12月26 |
PREVIEW OPTIMIZED ARTIFICIAL NEURAL NETWORK DRIVER MODEL |
| |
| Guo Konghui Pan Feng.PREVIEW OPTIMIZED ARTIFICIAL NEURAL NETWORK DRIVER MODEL[J].Chinese Journal of Mechanical Engineering,2003,39(1):26-28. |
| |
| Authors: | Guo Konghui Pan Feng |
| |
| Abstract: | A preview optimized artificial neural network (POANN) driver model based on the preview-follower theory with considering the driver's target and his physical restriction are studied. Simulation is taken to study the driver's direction control behavior using 2-DOF vehicle models. The simulating results indicate that POANN driver model is a simple controller that represents the regular driver's behavior and can be used to simulate driver-vehicle close loop system and control of intelligent vehicle, such as autonomous driving. |
| |
| Keywords: | Preview optimized Artificial neural network Driver model Close-loop simulation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
