基于扩展卡尔曼滤波器的捷联导引头刻度尺参数辨识

EKF-based scaling factor identification for strap-down seeker

  • 摘要: 基于扩展卡尔曼滤波器,提出一种捷联导引头刻度尺参数辨识方法。首先,简化了在比例导引制导律作用下捷联导引头系统的非线性模型。之后,根据该非线性模型,推导扩展卡尔曼滤波方程组,并在参数估计处利用泰勒展式将其线性化。最后,在以上条件下对制导系统的稳定性进行理论分析与研究。通过数学仿真对该刻度尺参数辨识方法加以验证,仿真结果表明:应用该方法,可以快速、准确的估计捷联导引头刻度尺参数,并且有效提高了在稳定性方面制导系统对导引头刻度尺系数误差的容忍度,使系统更具鲁棒性。

     

    Abstract: Based on extended Kalman filter(EKF), a scaling factor(SF) identification method for strap-down seeker(SS) was proposed. First,a nonlinear model for SS system was set up under proportional guidance(PNG) law. Then, the extended Kalman equations were deduced on this nonlinear model, and it should be linearized at the value of EKF estimated based on Taylor expansion. At last, actions of this method on how to keep guidance system stability were studied under above conditions. According to mathematic simulation results, in this way, the SSSF could be estimated accurately and quickly, and the tolerable SSSF error scope of guidance system stability is extended, the robustness of system is promoted.

     

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