期刊文献+

AGV用GPS/DR组合导航动融滤波技术 被引量:3

On Two-Stage Filtering of GPS/DR Integrated Navigation System for AGV
下载PDF
导出
摘要 目的研究基于GPS/DR信息融合的AGV导引系统,实现AGV行走过程中高精度、实时定位,确保AGV在预设轨道上精确导航.方法应用Kalman滤波算法将GPS定位信号进行动态滤波,以获取相对精确的GPS定位信号,进而将动态滤波结果与编码器信息结合,进行融合滤波,以获取高精度定位数据.结果给出定位实验数据和数据处理结果曲线,描绘GPS、DR单独定位数据,以及GPS/DR融合滤波定位数据;对比发现,误差允许范围内设定平滑带,动融滤波技术相对于普通滤波优势在50%以上.结论采用动融滤波技术,AGV用GPS/DR组合导航系统实施二级滤波,可提供实时、稳定、可靠的定位数据. This research is a study on AGV navigation system which is based on GPS/DR information fu- sion, and aims to achieve high-precision and real-time location of walking AGV, and ensure accurate navigation of AGV along the preset orbit. GPS positioning signal will be filtered by application of Kalman filtering algorithm to obtain relatively precise GPS positioning signal, then the result will be combined with the encoder information to obtain high-precision positioning data. A group of positioning data curves, depicting GPS, DR positioning data separately, and positioning data of GPS/DR fusion filter have been provided. By comparison, the dynamic filter on the smoothness of the final positioning data plays a key role, smoothness increasing by 50% with dynamic filtering. GPS/DR integrated navigation system applying two-stage filtering provides real-time, stable and reliable positioning data.
出处 《沈阳建筑大学学报(自然科学版)》 CAS 北大核心 2012年第3期544-548,共5页 Journal of Shenyang Jianzhu University:Natural Science
基金 国家自然科学基金项目(60879012/F01) 辽宁省重点实验室基金项目(JX200915)
关键词 KALMAN滤波 动态滤波 AGV GPS/DR组合导航 偏离度 平滑带 Kalman filtering dynamic filtering AGV GPS/DR integrated navigation deviation smooth region
  • 相关文献

参考文献13

  • 1Collier M. A micro-AGV for flexible manufacturing in small enterprises [ J ]. Integrated Manufacturing Systems ,2003,14(5 ) :442 -448.
  • 2Teunissen P J G. The probability distribution of the ambiguity bootstrapped GNSS baseline [ J ]. Journal of Geodesy ,2001,75:5 - 6.
  • 3Montenbruck O, Rarnos-Bosch P. Precision real-time navigation of LEO satellites using global positioning system measurements [ J ]. GPS Solutions, 2008, 12 (3) :187 - 198.
  • 4Egziabher D G. Design and performance analysis of a low-cost aided dead reckoning navigation [ D ]. Cali- fornia: Stanford University ,2004.
  • 5Gill E, Montenbruck O, Kayal H. The BIRD satellite mission as a milestone toward gps-based autonomous navigation [ J ]. Navigation Journal of The Institute of Navigation,2001,48 (2) :69 - 75.
  • 6张晓霞,汪传龙,韩刘柱,李晓琳.AGV用GPS/DR组合导航信息融合[J].沈阳建筑大学学报(自然科学版),2011,27(1):173-177. 被引量:8
  • 7杨兆升,王伟,董升,朱伟权,沈建惠.GPS/DR组合定位系统信息融合技术[J].吉林大学学报(工学版),2008,38(3):508-513. 被引量:9
  • 8Sun S L. Multi-sensor optimal information fusion Kalman filter with application [ J ]. Aerospace Sci- ence and Technology, 2004,8 ( 1 ) : 57 - 62.
  • 9Watts B, Steve N. Robots behind the wheel GPS/INS vehicle assessment[J]. GPS World, 2004 ( 5 ) : 48 - 67.
  • 10Montenbruck O, Ramos Bosch P. Precision real-time navigation of leo satellites using global positioning system measurements [ J ]. GPS Solutions, 2008, 12 (3) :187 - 198.

二级参考文献10

共引文献15

同被引文献41

引证文献3

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部