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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。
How to obtain the control torque of RCS under the real flight conditions has always been a challenge for RC transatmospheric vehicles controlled by RCS (reaction control system). In this paper, the idea of using system identification technology to obtain RCS control torque is proposed. A parameter identification algorithm model based on maximum likelihood criterion and Newton-Raphson iteration algorithm is established. The simulation identification and the identification of the actual flight data of a capsule return capsule show that the method established in this paper is effective and can effectively identify the aerodynamic moment and RCS control moment of the aircraft simultaneously.