关键词: 控制理论, 快速传递对准, 联合滤波器, 强跟踪滤波器, Elman网络, 鲁棒性, 重构

Abstract: Considered the huge calculation burden brought by the high dimension number of the centralized Kalman filter for the rapid transfer alignment and the poor robustness of Kalman filter, a federated strong tracking Kalman filter was adopted. Firstly, an estimation method of variance matrix based on fuzzy weighting coefficient was proposed to improve the accuracy of the traditional strong tracking filter. Then, the structure and algorithm of federated strong tracking Kalman filter were designed. To enhance the reconfiguration ability of federated filter by improving the robustness of sub-filters and to give consideration to the accuracy and calculation stability of sub-filters, an modified Elman network was proposed to adjust the information distribution coefficients adaptively according to some experiential rules. The simulation results show that this filter not only accelerates the calculation, but also improves the alignment accuracy, the system robustness and the rapid reconfiguration ability.

Key words: control theory, rapid transfer alignment, federated filter, strong tracking filter, Elman network, robustness, reconfiguration