文中介绍了一种使用横向安装在弹体上单轴磁强计测量的数据,来辨识旋转弹体的旋转速率、锥进速率、半锥角的方法。这种方法也可用于辨识弹体角动量矢量和当地磁场矢量之间的角度和当地磁场的密度等几个参数。文中先建立一个能表征弹体旋转运动的数学模型,再使用的组合优化策略来优化,主要优化方法是遗传算法和梯度优化算法,目的是引用遗传算法的全局优化特性和梯度优化算法局部区域的搜索能力。通过试验验证了该方法的可行性。

A method of estimating spin rate, coning rate, and coning half-angle of a spinning space vehicle using the data from a single-axis magnetometer mounted transversely on spin axis of the vehicle was described. In addition, estimates were available for the angle between total annular momentum vector of the vehicle and local magnetic field vector. Hybrid optimization strategy and a mathematical model of rotary projectile were used; the model contains genetic algorithm and gradient optimization, for the genetic algorithm's character of global optimization and gradient optimization's character of searched ability local region. This method was verified to have feasibility by experiment.