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针对全捷联图像导引头中传感器刻度尺误差与动力学偏差引起的隔离度问题,阐述了隔离度寄生回路产生的机理,并提出在线辨识探测器及角速率陀螺刻度尺系数与补偿导引头动力学延迟的隔离度抑制方案。建立导引头“数字平台”的等效模型,基于无迹卡尔曼滤波算法(UKF),对传感器刻度尺系数以及真实弹目视线角速率进行辨识;运用匹配滤波器补偿导引头探测器动力学滞后。最后进行数学仿真,从稳定弹体飞行姿态与提升制导精度两个方面,对各方案的可行性进行了论证。结果表明:UKF滤波算法与匹配滤波器可以有效地对隔离度进行抑制并提升制导系统性能。
Aiming at the problem of isolation caused by sensor scale error and dynamic deviation in all-strapdown image seeker, the mechanism of isolation parasitic loop is expounded. And on-line identification detector and angular rate gyro scale factor and compensation guidance Head kinetics delayed isolation suppression scheme. The equivalent model of seeker “digital platform ” was established. Based on the unscented Kalman filter (UKF), the sensor scale factor and the true line-of-sight angular rate were identified. The matched filter was used to compensate the seeker’s probe Kinetics lag. Finally, the mathematical simulation is carried out to demonstrate the feasibility of each program from stabilizing projectile flying attitude and improving guidance precision. The results show that the UKF filtering algorithm and the matched filter can effectively suppress the isolation and improve the performance of the guidance system.