计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (26): 242-245.DOI: 10.3778/j.issn.1002-8331.2008.26.074

• 工程与应用 • 上一篇    下一篇

基于动态目标位置的智能车辆动态避障控制研究

于少伟,曹 凯   

  1. 山东理工大学 交通与车辆工程学院,山东 淄博 255049
  • 收稿日期:2007-11-06 修回日期:2008-02-18 出版日期:2008-09-11 发布日期:2008-09-11
  • 通讯作者: 于少伟

Research on intelligent vehicle moving obstacle avoidance control using dynamic target position concept

YU Shao-wei,CAO Kai   

  1. School of Transportation and Automobile Engineering,Shandong University of Technology,Zibo,Shandong 255049,China
  • Received:2007-11-06 Revised:2008-02-18 Online:2008-09-11 Published:2008-09-11
  • Contact: YU Shao-wei

摘要: 为了真实地模拟驾驶员在动态环境中避让动态障碍物的行为方式,提出了动态目标位置概念,并采用三次样条曲线作为动态避障的路径拟合曲线。以模糊逻辑为控制策略,以T-S模糊模型为控制结构,以自适应神经网络为隶属度函数的参数调整手段,设计出一种智能车辆横向运动控制器,并通过计算机仿真实现。结果表明,基于动态目标位置概念的控制器设计具有较好的控制性能,较为理想地模拟实际交通环境中车辆动态避障的特性。

Abstract: In order to simulate truthfully behavior pattern of driver in moving obstacle avoidance in a dynamic environment,this paper proposes a dynamic target position concept,and employes cubic spline curves as path fitting curves of moving obstacle avoidance.In this paper,a lateral controller of vehicle is designed by using the fuzzy logic as a control strategy,the T-S fuzzy model as its structure and an adaptive neural network as a means of adjusting membership function.The simulation result shows that the designed controller based on dynamic target position can simulate well moving obstacle avoidance characteristic of vehicle in actual traffic situation.