导弹与航天运载技术
導彈與航天運載技術
도탄여항천운재기술
MISSILES AND SPACE VEHICLES
2014年
5期
49-52
,共4页
王跃钢%陈苏邑%雷堰龙%蔚跃
王躍鋼%陳囌邑%雷堰龍%蔚躍
왕약강%진소읍%뢰언룡%위약
阵风%位移响应%欠阻尼振动%扩展卡尔曼滤波%辨识
陣風%位移響應%欠阻尼振動%擴展卡爾曼濾波%辨識
진풍%위이향응%흠조니진동%확전잡이만려파%변식
Gust wind%Displacement response%Under damping vibration%EKF%Identificatio
飞行器竖立在发射阵地时,会受到阵风的干扰产生振动,从而影响惯性平台的标定精度。为了更好发辨识阵风干扰下的平台漂移误差系数,根据弹体结构力学原理选用了达文波特(Davenport)阵风模型计算出了飞行器在一定风速下的最大振幅,并将振动理想化为欠阻尼振动进行建模。将这个振动加入平台漂移误差建模的过程中。通过建立起平台欧拉角变化率与漂移角速率建立描述平台漂移的状态空间方程,将误差系数看作状态变量,利用扩展卡尔曼滤波算法进行辨识。辨识效果图显示参数收敛速度快且趋于稳定,在加入随机噪声的情况下计算3组数据,得出稳定、可信的结果。
飛行器豎立在髮射陣地時,會受到陣風的榦擾產生振動,從而影響慣性平檯的標定精度。為瞭更好髮辨識陣風榦擾下的平檯漂移誤差繫數,根據彈體結構力學原理選用瞭達文波特(Davenport)陣風模型計算齣瞭飛行器在一定風速下的最大振幅,併將振動理想化為欠阻尼振動進行建模。將這箇振動加入平檯漂移誤差建模的過程中。通過建立起平檯歐拉角變化率與漂移角速率建立描述平檯漂移的狀態空間方程,將誤差繫數看作狀態變量,利用擴展卡爾曼濾波算法進行辨識。辨識效果圖顯示參數收斂速度快且趨于穩定,在加入隨機譟聲的情況下計算3組數據,得齣穩定、可信的結果。
비행기수립재발사진지시,회수도진풍적간우산생진동,종이영향관성평태적표정정도。위료경호발변식진풍간우하적평태표이오차계수,근거탄체결구역학원리선용료체문파특(Davenport)진풍모형계산출료비행기재일정풍속하적최대진폭,병장진동이상화위흠조니진동진행건모。장저개진동가입평태표이오차건모적과정중。통과건립기평태구랍각변화솔여표이각속솔건립묘술평태표이적상태공간방정,장오차계수간작상태변량,이용확전잡이만려파산법진행변식。변식효과도현시삼수수렴속도쾌차추우은정,재가입수궤조성적정황하계산3조수거,득출은정、가신적결과。
When a missile erected, it will be affected by the gust wind. The resulting vibration can influence the precision of the platform. In order to identify the error parameters better, the maximum amplitude is calculated using the Davenport wind model according to missile mechanics, and the vibration is idealized to be under damping vibration. The vibration is incorporated into the modeling of the INS platform. The state space equations to describe the platform drift are established with the Euler angle change rate and drift angular rate of a platform. The error coefficient is seen as the state variables and is identified with extended Kalman filter. The coefficient identification figure shows that convergence is fast and stable. Three groups of data are calculated in condition of adding into random white noise, and its result is relatively stable and reliable.