Capture regions of GIPN guidance laws: a least square SVM approach

F. Tyan
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引用次数: 1

Abstract

In this paper, the expression of capture region of the general ideal proportional navigation (GIPN) missile guidance law is determined by a powerful classifier, least square support vector machine (LSSVM). To reduce the computational burden, an approximation of the Gaussian radial basis function is adopted to obtain the corresponding nonlinear feature mapping function. Through numerous numerical examples, it shows that the proposed technique is adequate for the determination of capture region. All the analysis of the relative dynamics between missile and target are performed in a line of sight (LOS) fixed natural coordinate. To have the capture region ready for LSSVM, all the state variables are transformed into the modified polar variables form. In addition, to reduce the number of independent variables, these modified polar variables are further non-dimensionalized. For simplicity, we assume that target's input acceleration is subject to independent saturation, while missile's input acceleration is subject to magnitude saturation
捕获GIPN制导律的区域:一种最小二乘支持向量机方法
本文利用最小二乘支持向量机(LSSVM)这一强大的分类器确定了一般理想比例导航(GIPN)导弹制导律捕获区域的表达式。为了减少计算量,采用近似高斯径向基函数得到相应的非线性特征映射函数。通过大量的数值算例表明,该方法可以满足捕获区域的确定。所有导弹与目标之间的相对动力学分析都是在固定自然坐标的瞄准线上进行的。为了使捕获区域为LSSVM做好准备,将所有状态变量转换为修改后的极性变量形式。此外,为了减少自变量的数量,这些修改后的极变量进一步无量纲化。为简单起见,我们假设目标的输入加速度服从独立饱和,而导弹的输入加速度服从幅度饱和
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