首页> 外文OA文献 >Commande et planification de trajectoires pour la navigation de véhicules autonomes
【2h】

Commande et planification de trajectoires pour la navigation de véhicules autonomes

机译:自动驾驶车辆的轨迹控制和规划

摘要

My research focuses on trajectory planning and control of autonomous vehicles. This work is a part of an extremely ambitious project launched by the Heudiasyc laboratory about autonomous driving at high speed (longitudinal speed greater to 5m/s ~= 18 km/h). With regard to the control of autonomous vehicles at high speed, a lateral controler using higher-order sliding mode control is proposed. Given the implicit similarity between the sliding mode and the principle of immersion and invariance, two controllers using the principle of immersion and invariance have been subsequently proposed in order to improve the performance with respect to the sliding mode. The development of these new controllers shows very strong robust stability which leads us to study the intrinsic properties of the system. A study of the passivity properties of the system is also crried out, showing some interesting characteristics of the system. Hence, a robust passivity-based controller has been developed. Regarding the navigation, we have developed two navigation algorithms based on the tentacles method. Subsequently, a feasibility study of trajectory generation strategies for high speed driving is conducted. The outcome of the simulation proved that the algorithms gave out good results with respect to the expected ogjectives of obstacle avoidance and global reference path following. Control and motion planning algorithms developed were validated offline by simulation with real data. They have been also tested on a realistic simulator.
机译:我的研究重点是自动驾驶车辆的轨迹规划和控制。这项工作是Heudiasyc实验室发起的一项雄心勃勃的项目的一部分,该项目涉及高速自动驾驶(纵向速度大于5m / s〜= 18 km / h)。关于自动驾驶车辆的高速控制,提出了一种使用高阶滑模控制的横向控制器。考虑到滑动模式与沉浸和不变性原理之间的隐含相似性,随后提出了两个使用沉浸和不变性原理的控制器,以提高相对于滑动模式的性能。这些新控制器的开发显示出非常强的鲁棒稳定性,这使我们研究了系统的固有特性。还需要对系统的无源特性进行研究,以显示系统的一些有趣特征。因此,已经开发了鲁棒的基于无源性的控制器。关于导航,我们已经开发了两种基于触手法的导航算法。随后,进行了高速行驶轨迹产生策略的可行性研究。仿真结果表明,该算法在避开障碍物和跟随全局参考路径方面具有良好的效果。通过实际数据仿真,离线验证了开发的控制和运动计划算法。它们也在真实的模拟器上进行了测试。

著录项

  • 作者

    Tagne Fokam Gilles;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 fr
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号