TY - GEN
T1 - Study on Vehicular SINS In-Moving Alignment Algorithm
AU - Wan, Zhenyuan
AU - Yang, Gongliu
AU - Liu, Yuanyuan
AU - Bai, Xiaomeng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/31
Y1 - 2016/10/31
N2 - Because of the interference of angular and linear vibration in-moving initial alignment, information of the gravity and rotational angular velocity of the earth can't be separated from the measurement of the gyros and accelerometers to calculate the attitude. With the information of position from GPS, this paper takes inertial frame as computing reference to guarantee the accuracy of initial alignment direction cosine matrix. Ulteriorly, in-moving initial alignment is converted to the Wahba's problem (attitude determination based on measurement vector), and a new q-method recursive algorithm with memory exponential fading factor is proposed for this. Finally, the results of tests prove that the proposed method is of stronger robustness, higher alignment accuracy and faster convergence than the traditional method.
AB - Because of the interference of angular and linear vibration in-moving initial alignment, information of the gravity and rotational angular velocity of the earth can't be separated from the measurement of the gyros and accelerometers to calculate the attitude. With the information of position from GPS, this paper takes inertial frame as computing reference to guarantee the accuracy of initial alignment direction cosine matrix. Ulteriorly, in-moving initial alignment is converted to the Wahba's problem (attitude determination based on measurement vector), and a new q-method recursive algorithm with memory exponential fading factor is proposed for this. Finally, the results of tests prove that the proposed method is of stronger robustness, higher alignment accuracy and faster convergence than the traditional method.
KW - In-moving initial alignment
KW - Inertial reference fame
KW - Q-method recursive algorithm
KW - Strapdown inertial navigation
UR - https://www.scopus.com/pages/publications/85000910562
U2 - 10.1109/ICISCE.2016.247
DO - 10.1109/ICISCE.2016.247
M3 - 会议稿件
AN - SCOPUS:85000910562
T3 - Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
SP - 1149
EP - 1153
BT - Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
A2 - Li, Shaozi
A2 - Cheng, Yun
A2 - Dai, Ying
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
Y2 - 8 July 2016 through 10 July 2016
ER -