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拟定的制导方法重点在于通过最小二乘法和卡尔曼滤波对随时间变化的目标状态进行估算。这为提前表明目标的未来位置提供了基础。从而我们能解决预测拦截点问题,并且将拦截器直接对准拦截点,由此产生了一个碰撞路线导引方案。为了实现这个方案,提出了一个分层结构。在这一结构的外层回路中,首先寻求预测拦截点问题,然后在拦截点附近用古典比例导引方法对拦截点作一些小的修正。本文给出了目标状态的估算方法和预测拦截点问题的显式解;接着,提出了一种基于修正拦截点位移的制导算法;然后,提供了“重力下沉”的修正项。本文的贡献在于给出了拦截点的修正方法,这个方法可用于补偿拦截过程中发现的拦截点的位移和重力下沉。
The proposed guidance method focuses on estimating the state of the target over time by least squares and Kalman filtering. This provides a basis for indicating in advance the future position of the target. Thus we can solve the problem of predicting intercept points and direct the interceptor to the intercept point, resulting in a collision course guidance scheme. In order to realize this scheme, a hierarchical structure is proposed. In the outer loop of this structure, we first seek to predict the intercept point problem, and then make some minor corrections to the intercept point using classical proportional guidance around the intercept point. In this paper, we give an estimation method of the target state and an explicit solution to the problem of predicting the interception point. Then, a guidance algorithm based on the correction of the intercept point displacement is proposed. Then, the correction term of “gravity sink” is provided. The contribution of this paper is to give an approach to the correction of the intercept point, which can be used to compensate for the intercept point displacements and gravity sinks found during interception.