TY - GEN
T1 - A gyro drift error compensation algorithm for a small unmanned aerial vehicle system
AU - Shao, Zhihao
AU - Lei, Xusheng
AU - Chen, Diansheng
PY - 2009
Y1 - 2009
N2 - To get high precision attitude information, this paper proposes a new time series method to construct the random drift model for the micro electro mechanical sensor gyro. Based on the wavelet multi scale analysis method, the gyro random drift data are decomposed and constructed to a series of scale gyro drift data and models to reduce the predict errors. Moreover, an adaptive kalman filter algorithm is proposed to compensate for the gyro random drift noise. The effectiveness of the proposed method is proved by a series of experiments.
AB - To get high precision attitude information, this paper proposes a new time series method to construct the random drift model for the micro electro mechanical sensor gyro. Based on the wavelet multi scale analysis method, the gyro random drift data are decomposed and constructed to a series of scale gyro drift data and models to reduce the predict errors. Moreover, an adaptive kalman filter algorithm is proposed to compensate for the gyro random drift noise. The effectiveness of the proposed method is proved by a series of experiments.
UR - https://www.scopus.com/pages/publications/70349133501
U2 - 10.1109/ICNSC.2009.4919385
DO - 10.1109/ICNSC.2009.4919385
M3 - 会议稿件
AN - SCOPUS:70349133501
SN - 9781424434923
T3 - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
SP - 817
EP - 822
BT - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
T2 - 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Y2 - 26 March 2009 through 29 March 2009
ER -