航空学报 > 2003, Vol. 24 Issue (2): 160-162

基于广义Kalman估计的机载雷达高精度控制系统

张国峰1, 吉英存2   

  1. 1. 北京航空航天大学自动控制系先进仿真技术航空科技重点实验室, 北京 100083;2. 北京九州恒润科技公司, 北京 100029
  • 收稿日期:2002-01-17 修回日期:2002-11-30 出版日期:2003-04-25 发布日期:2003-04-25

High Accurate Control of Radar System on Plane-Board Based on Ex tended Kalman Filter

ZHANG Guo-feng1, JI Ying-cun2   

  1. 1. Advanced Simulation Technology Lab of Aeronautics Science; Depart ment of Automatic Control; Beijing University of Aeronautics and Astronautics; Beijing 100083; China;2. Beijing Jiuzhou Hirain Technologies; Beijing 100029; China
  • Received:2002-01-17 Revised:2002-11-30 Online:2003-04-25 Published:2003-04-25

摘要: 研究了在某型现役机载雷达系统中, 采用广义Kalman 滤波器方法来预估目标机的俯仰角和方位角,产生跟踪目标用的雷达天线驱动信号, 替代传统的速率陀螺测量元件来补偿本机机动所造成的扰动的方法,同时对探测信号本身所具有的延迟起到了补偿作用。对目标的运动采用直角坐标系中的Singer 模型描述, 而对测量信号则是应用极坐标系中的描述, 采用广义Kalman 滤波器来完成估计, 即在每一步的估计和控制中对计算测量方程进行线性化结果, 实现两种坐标系的转换。通过应用Matlab/ Simulink 软件对整个系统的建模、设计及仿真研究, 得到了满意的结果。

关键词: 雷达控制, Kalman滤波器, 控制系统, 仿真, Matlab/Simulink

Abstract: The application of extended Kalman filters to compensate for the disturbance from plane movements fort he radar system on the plane-board is researched in this paper instead of tradit ional met hods which used velocity gyro. Now in t he plane-board radar antenna system, the extended Kalman filter is adopted to estimate the elevationand azimuth angles of a tar get plane as driving signals for the radar system to track the target. At the same time,t he new method can also compensate for the delay of detection signals. I n addit ion, target movement is describedwith the Singer model in an orthogonal coordinate system and the measurement signal is estimated by an extendedKalman filt er in the polar coordinate system, that is to say, measur ement equations ar e linear ized in each step tomake the conversion of t he equat ions to the orthogonal coor dinate system. With Matlab/ Simulink softwar e the modeling, design and simulation are successfully finished and satisfactory results are also obtained.

Key words: radar control, Kalman filter, control system, simul ation, Matlab/Simulink

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