Optimal Four-Sample and Two-Time Iteration Algorithm for SINS Attitude Updating

摘要：

The intention of this paper is to propose the optimal four-sample and two-time iteration algorithm for SINS attitude updating which is based on the criteria of the minimum of the cone error. The comparison among three-sample and foursample rotation vector algorithm drifts of single loop and threesample and four-sample algorithm drifts of double loop was made. Results show that the optimal four-sample and two-time iteration algorithm outperforms others in case of high-frequency coning motion. Therefore, it can be concluded that the accuracy of the new attitude algorithm has been improved.

关键词： SINS attitude updating rotation vector foursample and two-time iteration optimal algorithm

作者: ZHANG Tong ZHANG Jun LI Wen-lin

作者单位: College of AutomationNorthwestern Polytechnic University Xian,710072,China College of Automation Northwestern Polytechnic University Xian,710072,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）