轉(zhuǎn)換測量卡爾曼濾波算法在導(dǎo)彈起爆控制技術(shù)中的應(yīng)用研究
Application Research of Converted Measuring Kalman Filter Used in Burst Control Technology of Missile
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摘要: 利用導(dǎo)引頭測量信息構(gòu)建最佳起爆控制算法以實現(xiàn)最佳起爆是導(dǎo)彈戰(zhàn)斗部起爆控制技術(shù)的一個重要方向.最佳起爆算法包括剩余飛行時間、脫靶量及脫靶方位的估計.為提高估計精度和滿足實際應(yīng)用要求,對導(dǎo)引頭測量信息進行濾波至關(guān)重要.該文研究了轉(zhuǎn)換測量卡爾曼濾波算法在起爆控制參數(shù)估計中的應(yīng)用,該算法將球坐標(biāo)系中導(dǎo)彈導(dǎo)引頭的測量信息轉(zhuǎn)換到直角坐標(biāo)系下進行濾波,同時消除了由于坐標(biāo)轉(zhuǎn)換而引起的偏差.仿真結(jié)果表明,該算法的應(yīng)用有效地提高了起爆控制參數(shù)的估計精度.
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關(guān)鍵詞:
- 引信; 起爆控制算法; 轉(zhuǎn)換測量卡爾曼濾波算法
Abstract: People can use measuring information provided by guider to establish optimal burst control algorithm in order to realize optimal burst. It is an important direction of burst control technology of missile. The optimal burst algorithm includes the estimation of time-to-go, miss distance and miss angle. In order to improve estimation accuracy and satisfy application request, it is important to filter measuring information provided by guider. The paper studied the application of converted measuring Kalman filter in parameters estimation of burst control. The algorithm filtered the information which was converted from polar coordinates to rectangle coordinates. At the same time, it eliminated the divergence caused by coordinate transform. Simulation results indicate that the application of this algorithm improved the estimation accuracy of burst control. -
莊志洪等.防空導(dǎo)彈引爆技術(shù)探討.引信年會,昆明,2001.8:177-185.[2]Lioyd Richard M. Conventional Warhead Systems Physics and Engineering Design. AIAA, Inc. 1998:417-466.[3]Zhuang Zhihong, Tu Jianping, Wang Hongbo. Prediction of Time-to-go During Missile-Target Encounter. 宇航學(xué)報, 2002,23(5): 32-37.[4]周宏仁等.機動目標(biāo)跟蹤.北京:國防工業(yè)出版社,1991,第七章.[5]劉丹等.基于去偏轉(zhuǎn)換測量卡爾曼濾波建立狀態(tài)初始估計的方法.雷達與對抗,2000,4:352-356.[6]Don Lerro, Yaakov Bar-Shalom. Tracking with debiased consistent converted measurements versus EKF. IEEE Trans. on AES, 1993: 1015-1022. -
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