Experimental Research on feedback Kalman Model of MEMS Gyroscope

摘要：

The time sequence analysis method,such as ARMA model, was usually adopted in creating drift error model for MEMS Gyroscope. This model decreases drift error a lot by making use of Kalman filter algorithm based on ARMA model, but, at the same time, its dynamic feature will be depressed. In this paper, we proposal a novel Kalman Method witch change Q through feedback. Though this method has the same effect on static state, it improve dynamic performance greatly. We has implemented it on FPGAs, and has did some experiment research on one Gyroscope. The result show that this method can improve static and dynamic feature simultaneously.

关键词： MEMS Gyroscope zero-bias stability feedback Kalman filter

作者: Zhang Hua Ke Xizheng Jiao Rong

作者单位: Faculty of Automation and Information Engineering,Xian University of Technology,Xian 710048,China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）