关键词: 系统工程, 坦克炮控系统, 状态估计, 参数辨识, 动态补偿

Abstract: Considered the reciprocity between system state estimation and parameter identification, an extended state observer (ESO) independent from system model was set up to obtain the state variables in real time. Furthermore, a parameter identifier was designed on the basis of covariance modification least squares algorithm (CVMLS), so that the state variables and parameters of tank gun control system could be estimated simultaneously. The errors of ESO and CVMLS were analyzed, and then the condition-confined dynamic compensation was adopted to improve the identification precision. The performance of algorithm was verified by simulation. The research work lays a foundation of further theoretical research and engineering practice.

Key words: system engineering, tank gun control system, state estimation, parameter identification, dynamic compensation