系统工程与电子技术

• 制导、导航与控制 • 上一篇    下一篇

基于信息熵的AUV地磁仿生导航方法

李红, 刘明雍, 刘坤   

  1. 西北工业大学航海学院, 陕西 西安 710072
  • 出版日期:2016-05-25 发布日期:2010-01-03

Navigation method of autonomous underwater vehicle based on information entropy

LI Hong, LIU Ming-yong, LIU Kun   

  1. College of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
  • Online:2016-05-25 Published:2010-01-03

摘要:

针对地磁异常引起磁参量变化规律失真,导致自主水下航行器(autonomous underwater vehicle,AUV)导航搜索算法极易陷入局部极小的问题,提出了一种基于种群信息熵的进化搜索方法。该方法对地磁异常区域内信息熵的变化状态进行观测,通过预设的熵值门限值判断搜索算法是否进入磁异常区域,采用最大概率选择机制使算法跳出异常区域的干扰,避免算法陷入局部极小,并且对算法的收敛性进行证明。在未知环境下对AUV的导航搜索算法进行仿真,结果表明,利用熵值观测和最大概率选取的方法能够使得AUV在磁异常存在的情况下完成导航任务,验证了算法的有效性。

Abstract:

For the local optimal problem of the search algorithm with the disturbance by geomagnetic anomaly, a novel navigation method for autonomous underwater vehicle (AUV) is proposed from the information entropy. This method utilizes the variation of headings to represent the entropy values, and judges whether the evolution algorithm is trapped into the geomagnetic anomaly area based on the preset threshold. If the algorithm is trapped into the geomagnetic anomaly area, the method adopting the direction with the maximum probability mechanism is used to avoid trapping into the local minimum point. Experimental results and their analysis preliminarily demonstrate that the proposed method is able to achieve the navigational task.