论文:2015,Vol:33,Issue(5):744-749
引用本文:
张韬, 张希铭, 王民钢. 全捷联导引头制导信息滤波算法及仿真[J]. 西北工业大学学报
Zhang Tao, Zhang Ximing, Wang Mingang. Algorithm and Simulation for Guidance Information Filter for Strapdown Seekers[J]. Northwestern polytechnical university

全捷联导引头制导信息滤波算法及仿真
张韬1,2, 张希铭1,2, 王民钢1,2
1. 西北工业大学 航天学院, 陕西 西安 710072;
2. 飞行控制与仿真技术研究所, 陕西 西安 710072
摘要:
全捷联导引头存在制导所需的视线角速度信号不能直接测量的问题,基于无迹施密特卡尔曼滤波器(unscented Schmidt-Kalman filter,USKF)提出了一种全捷联导引头的制导信息提取算法。USKF对增广状态中的参数向量不进行校正,避免了参数观测误差过大对于滤波器性能的影响。在目标机动及制导律有落角约束要求的条件下,对制导信息提取算法进行了仿真验证。仿真结果表明,USKF滤波器性能优于传统非线性滤波器EKF及UKF,能够更准确地给出制导律所需信息,为全捷联导引头方案提供了理论基础及工程应用参考。
关键词:    全捷联寻的制导    无迹施密特卡尔曼滤波    弹道成型导引律   
Algorithm and Simulation for Guidance Information Filter for Strapdown Seekers
Zhang Tao1,2, Zhang Ximing1,2, Wang Mingang1,2
1. College of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China;
2. Research Institute of Flight Control and Simulation, Xi'an 710072, China
Abstract:
Problem exists in strapdown seekers that the line of sight rate cannot be directly measured, which is used for homing guidance. This paper develops an algorithm for strapdown seeker guidance information filtering based on unscented Schmidt-Kalman filter(USKF). The USKF does not correct the parameters in augmented state vector, thus avoiding performance reduction duo to large estimation error of parameters. We conducted simulations to verify the guidance information filtering algorithm, assuming maneuvering target and guidance law with constrained impact angle. Results and their analysis show preliminarily that USKF performs better than EKF and UKF, both traditional nonlinear filters, and gives more precise guidance information, thus giving engineering reference for strapdown seeker system design.
Key words:    angular velocity    cost reduction    data processing    guidance systems    Kalman filters   
收稿日期: 2015-04-16     修回日期:
DOI:
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作者简介: 张韬(1990—),西北工业大学硕士研究生,主要从事导弹制导及控制研究。
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