首页> 外文会议>Proceedings of the IASTED Asian conference on modelling and simulation >LINEAR MODEL EXTRACTION OF A LAUNCH VEHICLE BY SYSTEM IDENTIFICATION BASED ON SIX DEGREES OF FREEDOM SIMULATION
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LINEAR MODEL EXTRACTION OF A LAUNCH VEHICLE BY SYSTEM IDENTIFICATION BASED ON SIX DEGREES OF FREEDOM SIMULATION

机译:基于自由度六度的系统识别线性提取模型

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摘要

The transfer functions of the aerospace launch vehicle canrnbe extracted using well-known linearization methodology.rnThis paper presents an alternative to obtain the transferrnfunctions via closed-loop identification using six degreesrnof freedom nonlinear simulation software. The vehicle isrncharacterized by high nonlinearity, open loop instabilityrnand time-varying behaviours. The model structure withrnsome unknown parameters is obtained after mathematicalrnmodeling, thus the case of our problem is a parameterrnidentification one. Time-variant parameters are estimatedrnby Kalman filter approach with the aid of ARX modelrnstructure.
机译:可以使用众所周知的线性化方法来提取航空航天运载工具的传递函数。本文提出了一种使用六度自由度非线性仿真软件通过闭环识别获得传递函数的方法。车辆具有高度的非线性,开环不稳定性和随时间变化的特性。经过数学建模后,得到了未知参数的模型结构,因此我们的问题就是一种参数辨识方法。借助ARX模型结构,通过卡尔曼滤波方法估算时变参数。

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