红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
5期
1587-1593
,共7页
孙婷婷%储海荣%贾宏光%张跃%李岩
孫婷婷%儲海榮%賈宏光%張躍%李巖
손정정%저해영%가굉광%장약%리암
捷联式光学导引头%视线角速率%稳态Kalman
捷聯式光學導引頭%視線角速率%穩態Kalman
첩련식광학도인두%시선각속솔%은태Kalman
strapdown optical seeker%line-of-sight angular rate%steady-state Kalman
为准确估计捷联导引头视线角速率,建立了全捷联导引头数学模型,根据弹目运动相对关系进行视线角速率解耦与估计算法研究。首先,建立了全捷联导引头数学模型,并利用Taylor级数对其进行线性化;接着,根据弹目运动几何学与坐标系相对关系推导视线角速率解耦算法;然后,针对捷联导引头无法直接测量体视线角速率的问题,提出微分+稳态Kalman滤波方法估计体视线角速率;最后,建立视线角速率解耦与估计算法验证系统并进行仿真实验,结果表明:解耦算法绝对误差小于5×10-5 rad/s,相对误差小于0.3%,验证了解耦算法的正确性;在包含导引头数学模型的条件下,采用角频率为19.2 rad/s的稳态Kalman滤波器,视线角速率估计误差小于4×10-3 rad/s,较直接微分方法的估计误差提高近一个量级。视线角速率解耦与估计算法同时能满足制导系统对精度与动态性能的要求。
為準確估計捷聯導引頭視線角速率,建立瞭全捷聯導引頭數學模型,根據彈目運動相對關繫進行視線角速率解耦與估計算法研究。首先,建立瞭全捷聯導引頭數學模型,併利用Taylor級數對其進行線性化;接著,根據彈目運動幾何學與坐標繫相對關繫推導視線角速率解耦算法;然後,針對捷聯導引頭無法直接測量體視線角速率的問題,提齣微分+穩態Kalman濾波方法估計體視線角速率;最後,建立視線角速率解耦與估計算法驗證繫統併進行倣真實驗,結果錶明:解耦算法絕對誤差小于5×10-5 rad/s,相對誤差小于0.3%,驗證瞭解耦算法的正確性;在包含導引頭數學模型的條件下,採用角頻率為19.2 rad/s的穩態Kalman濾波器,視線角速率估計誤差小于4×10-3 rad/s,較直接微分方法的估計誤差提高近一箇量級。視線角速率解耦與估計算法同時能滿足製導繫統對精度與動態性能的要求。
위준학고계첩련도인두시선각속솔,건립료전첩련도인두수학모형,근거탄목운동상대관계진행시선각속솔해우여고계산법연구。수선,건립료전첩련도인두수학모형,병이용Taylor급수대기진행선성화;접착,근거탄목운동궤하학여좌표계상대관계추도시선각속솔해우산법;연후,침대첩련도인두무법직접측량체시선각속솔적문제,제출미분+은태Kalman려파방법고계체시선각속솔;최후,건립시선각속솔해우여고계산법험증계통병진행방진실험,결과표명:해우산법절대오차소우5×10-5 rad/s,상대오차소우0.3%,험증료해우산법적정학성;재포함도인두수학모형적조건하,채용각빈솔위19.2 rad/s적은태Kalman려파기,시선각속솔고계오차소우4×10-3 rad/s,교직접미분방법적고계오차제고근일개량급。시선각속솔해우여고계산법동시능만족제도계통대정도여동태성능적요구。
In order to accurately estimate the line-of-sight (LOS) angular rate of the strapdown seeker, strapdown seeker mathematical model was established, decoupling and estimation algorithm of LOS angular rate was based on the movement of the missile and target relative relationship. Firstly, a mathematical model of the strapdown seeker was established, and the Taylor series was used for its linearization. Secondly, according to the movement of the missile and target geometry and coordinate system relative relationship, the LOS angular rate decoupling algorithm was derived. Strapdown seeker can not directly measure the body line-of-sight (BLOS) angular rate, differential coefficient+steady-state Kalman filter was proposed to estimate the BLOS angular rate. Finally, LOS angular rate decoupling and estimation algorithm verification system was established and simulation experiment was carried out. The results showed that, the absolute error of decoupling algorithm was less than 5í10-5 rad/s and relative error was less than 0.3%, the correctness of the decoupling algorithm was verified. Under the conditions of containing seeker mathematical model, the steady-state Kalman filter was used by the angular frequency of 19.2 rad/s, LOS angular rate estimation error was less than 4í10-3 rad/s, nearly an order of magnitude was improved than direct differentiation method estimation error. The decoupling and estimation algorithm of the LOS angular rate can at the same time meet the requirements of the guidance system accuracy and dynamic performance.