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改进的快速扩展随机树在航迹规划中的应用
引用本文:周克强,高晓光,白奕. 改进的快速扩展随机树在航迹规划中的应用[J]. 系统工程与电子技术, 2006, 28(10): 1538-1540
作者姓名:周克强  高晓光  白奕
作者单位:西北工业大学电子信息学院,陕西,西安,710072
基金项目:国家自然科学基金重大研究计划(90205019),高等学校博士学科点专项科研基金(20020699001)资助课题
摘    要:通过在快速扩展随机树(rapidly-exploring random tree)算法的基础上融入状态-时间空间(state-timespace)的思想,使改进后的算法能够有效地处理动态环境中的航迹规划问题。仿真试验首先采用四元素法建立航天飞行器的六自由度动力学模型,在三维空间中验证该算法搜索高维空间的能力。其次运用改进的算法在动态环境中进行航迹规划试验,证明了该算法的有效性。

关 键 词:快速扩展随机树  状态-时间空间  航迹规划
文章编号:1001-506X(2006)10-1538-03
修稿时间:2005-08-16

Trajectory planning using improved rapidly-exploring random tree
ZHOU Ke-qiang,GAO Xiao-guang,BAI Yi. Trajectory planning using improved rapidly-exploring random tree[J]. System Engineering and Electronics, 2006, 28(10): 1538-1540
Authors:ZHOU Ke-qiang  GAO Xiao-guang  BAI Yi
Abstract:A tool called rapidly-exploring random tree is presented.It is suitable for solving trajectory planning problem in a dynamic environment based on the concept of state-time space.Firstly,the experiments are made in 3-dimensional space using a six-degree-of freedom spacecraft model represented by unit quaternion.Experimental results indicate that the proposed scheme has the capability of searching high-dimensional space.Secondly,an experiment is performed in a dynamic environment with moving obstacles with known trajectories,and the result shows that the improved algorithm is effective.
Keywords:rapidly-exploring random tree  state-time space  trajectory planning
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