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一种非线性状态估计器的算法实现与解耦简化
引用本文:吴树范,郭锁风,胡寿松.一种非线性状态估计器的算法实现与解耦简化[J].南京航空航天大学学报,1990(1).
作者姓名:吴树范  郭锁风  胡寿松
作者单位:南京航空学院自动控制系 (吴树范,郭锁风),南京航空学院自动控制系(胡寿松)
摘    要:本文以机载火控系统中的目标状态估计器(TSE)为例,探讨了一类非线性状态估计器的算法及简化方法。文中给出了TSE的数学模型,分析了其特点,并作了形式上的变换;而后用最优卡尔曼滤波算法实现了状态估计。最后,利用其结构特点,作了算法解耦,故大大减少了计算量和计算机内存,获得了令人满意的估值精度。

关 键 词:非线性控制系统  卡尔曼滤波  火力控制系统  状态估计器

An Algorithm and Decoupling Simplification of a Nonlinear State Estimator
Shufan Guo Suofeng Hu Shousong.An Algorithm and Decoupling Simplification of a Nonlinear State Estimator[J].Journal of Nanjing University of Aeronautics & Astronautics,1990(1).
Authors:Shufan Guo Suofeng Hu Shousong
Institution:Department of Automatic Control
Abstract:This paper discussed an algorithm and a simplification method of a nonlineartime-variant state estimator-the Target State Estimator (TSE) used in the onboardfire control system of a fighter. After giving the mathematical model of TSE, this paper analysed its characteristics,made a transformation of its state equation, and realized the state estimation using the algorithm of optimal Kalman filter. Finally, by taking some suitable methods, this paper decoupled the estimation of some states, which greatly reduced the amount of computation and storage requirement, and obtained also satisfactory estimating precision.
Keywords:nonlinear control system  Kalman filter  fire control system  state estimator
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