传感器的刻度尺系数不匹配与机械结构运转造成的干扰力矩为引发半捷联导引头隔离度产生的主要原因。针对上述问题, 首先将不同因素所引发隔离度对导弹控制系统稳定性与制导精度的影响进行了比对。然后, 建立了考虑隔离度寄生回路影响的非线性滤波模型, 采用强跟踪无迹卡尔曼滤波(STUKF)算法, 对传感器刻度尺误差、稳定平台干扰力矩与弹目视线角速度进行同时估计, 以达到在线辨识与补偿导引头隔离度的目的。最后, 对在线补偿方案进行了数字仿真验证。实验结果表明: 所提方法能有效改善系统的制导性能, 提升导弹的制导精度, 并具有较好的抗干扰性与鲁棒性。以上理论分析可为半捷联导引头隔离度的综合评估以及在线补偿方面的工程应用提供指导。

Disturbance rejection rate (DRR) not only affected output accuracy of the seeker but also worsened the performance of missile guidance system. The main factors which caused the problem of DRR with semi-strapdown imaging seeker were scale error and disturbance torque. Firstly, a model of guidance system which contained disturbance rejection rate parasitic loop (DRRPL) was established. The relationship between DRR caused by different factors and the stabilization of guidance system was analyzed on basis of the model. Then, an online rejection method based on strong tracking unscented kalman filter (STUKF) was proposed to solve the problem above. The nonlinear filter model considering DRRPL was built by working principle of semi-strapdown seeker, the STUKF algorithm was adopted to estimate DRR and real line of sight rate. Finally, a math simulation was put forward. The result indicates that the guidance accuracy is improved after the compensation of DRR, and the compensation method had good anti-interference and robustness. The above theoretical analysis can provide guidance for online identification and compensation of semi-strapdown seeker disturbance rejection rate.