飞行器RCS控制力矩辨识方法研究

Research on the RCS control moment parameters identification for flight vehicle

对于依靠RCS(反作用控制系统)进行控制的返回舱等跨大气层飞行器,如何获得其在真实飞行条件下RCS的控制力矩一直是一个难题。本文提出了采用系统辨识技术得到RCS控制力矩的思路,研究建立了基于最大似然准则和牛顿-拉夫逊迭代算法的参数辨识算法模型。仿真辨识及对某飞船返回舱实际飞行数据的辨识结果表明,本文建立的方法是有效的,利用其能够对飞行器的气动力矩和RCS控制力矩同时进行有效辨识。

For trans-atmospheric flight vehicle controlled with RCS（Reaction Control System） like spaceship return capsule,the real control moment of RCS in flight condition is very important in the design of control laws.In this paper,the method to obtain the RCS control moment parameters by the use of system identification technique is proposed,the algorithm and mathematic model are derived based on maximum likelihood criterion and Newton-Raphson iteration.The results from simulated data identification and a certain return capsule flight data identification show that the algorithm developed in this paper is really effective not only in obtaining the aerodynamic moment coefficient parameters but also the RCS control moment parameters.