TY - GEN
T1 - A new method of missile in-flight alignment under large heading error
AU - Wang, Yandong
AU - Cai, Junliang
AU - Chen, Xiaoqiang
AU - Han, Zhihua
AU - Ji, Qingchang
PY - 2011
Y1 - 2011
N2 - Aiming at large initial heading error at missile flight, a new in-flight alignment method is introduced, in which a H∞ filter and a Kalman filter are synthesized. When there is large initial heading error, the H∞ filter is used, at the same time, the observability of each state variable is calculated. When the observability of attitude angle error reaches a level prearranged, the Kalman filter with the covariance matrix inherited begins to work instead of H∞ filter. The two filters are carried using the same error model which is designed under inertia coordinate system. The paper also introduces a method of calculating observabilities, which is not only adequate for the static observation equation case but also dynamic. At last, simulation result shows that, with large initial heading error, the precision of estimating attitude error can reach a level under 10' within 120 seconds using the method introduced by this paper, while it maybe causes large estimating error and even causes filtering divergence using only H∞ filter or Kalman filter.
AB - Aiming at large initial heading error at missile flight, a new in-flight alignment method is introduced, in which a H∞ filter and a Kalman filter are synthesized. When there is large initial heading error, the H∞ filter is used, at the same time, the observability of each state variable is calculated. When the observability of attitude angle error reaches a level prearranged, the Kalman filter with the covariance matrix inherited begins to work instead of H∞ filter. The two filters are carried using the same error model which is designed under inertia coordinate system. The paper also introduces a method of calculating observabilities, which is not only adequate for the static observation equation case but also dynamic. At last, simulation result shows that, with large initial heading error, the precision of estimating attitude error can reach a level under 10' within 120 seconds using the method introduced by this paper, while it maybe causes large estimating error and even causes filtering divergence using only H∞ filter or Kalman filter.
KW - H filter
KW - Kalman filter
KW - in-flight alignment
KW - large heading error
UR - https://www.scopus.com/pages/publications/80052199472
U2 - 10.1109/ICIEA.2011.5975658
DO - 10.1109/ICIEA.2011.5975658
M3 - 会议稿件
AN - SCOPUS:80052199472
SN - 9781424487554
T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
SP - 610
EP - 613
BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Y2 - 21 June 2011 through 23 June 2011
ER -