UKF Filtering of UAV MEMS Gyro Based on Time-series Model

摘要：

　　The algorithms and the applications of UKF filtering of UAV MEMS Gyro based on time-series model are presented in this paper.First Gyro output signals are preprocessed and modeled by time-series analysis theory,and then use UKF filtering method to compensating error based on the time-series model.Examples with actual experiment demonstrate that the method has apparent superiority.The simulation result shows that,both in static and dynamic cases,after eliminate the precision error MEMS gyro accuracy can achieve the miniature UAV standards.

关键词： UAV MEMS Gyro Time-series model UKF filtering

作者: Jia XU Qing LI

作者单位: Institute of Intelligence Control, University of Beijing Information Science & Technology, Beijing,1O0101,China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4885-4891

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）