| 引用本文: | 江振宇,孙乐园,王晋璘,黄振新,赵磊.环境参数在线辨识及其在滑翔段制导中的应用[J].国防科技大学学报,2018,40(2):48-54.[点击复制] |
| JIANG Zhenyu,SUN Leyuan,WANG Jinlin,HUANG Zhenxin,ZHAO Lei.Environmental parameter online identification and its application in gliding guidance[J].Journal of National University of Defense Technology,2018,40(2):48-54[点击复制] |
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| 环境参数在线辨识及其在滑翔段制导中的应用 |
| 江振宇1, 孙乐园2, 王晋璘3, 黄振新1, 赵磊1 |
| (1. 国防科技大学 空天科学学院， 湖南 长沙 410073;2. 国防科技大学 智能科学学院， 湖南 长沙 410073;3. 北京航天自动控制研究所， 北京 100854) |
| 摘要: |
| 针对助推滑翔导弹，提出基于飞行环境参数在线辨识的滑翔段数值预测校正制导方法。综合考虑大气密度和气动系数对导弹运动的影响，引入滑翔段综合环境参数,利用扩展Kalman滤波方法对综合参数进行在线辨识。基于在线辨识结果，利用渐消记忆递推最小二乘方法在线建立环境参数预测模型，并利用最新辨识结果进行模型的在线修正。设计了纵向和横向制导律，并基于环境参数在线预测模型进行落点预测，以克服飞行环境扰动对落点预测精度的影响。进行了大气密度非定常扰动下的制导仿真，以及密度和气动参数随机扰动下的Monte Carlo仿真。仿真结果表明：环境参数在线预测模型能准确预报飞行环境参数，制导方法对飞行环境扰动具有较强的鲁棒性。 |
| 关键词: 助推滑翔导弹 在线辨识 预测校正制导 在线预测模型 |
| DOI：10.11887/j.cn.201802008 |
| 投稿日期：2016-11-28 |
| 基金项目:一院高校联合创新基金资助项目（CALT201503） |
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| Environmental parameter online identification and its application in gliding guidance |
| JIANG Zhenyu1, SUN Leyuan2, WANG Jinlin3, HUANG Zhenxin1, ZHAO Lei1 |
| (1. College of Aeronautics and Astronautics, National University of Defense Technology, Changsha 410073, China;2. College of Artificial Intelligence, National University of Defense Technology, Changsha 410073, China;3. Beijing Aerospace Automatic Control Institute, Beijing 100854, China) |
| Abstract: |
| A numerical predictor corrector guidance with environmental parameter online identification was proposed for boosting glide missile. Comprehensive environment parameter was introduced in gliding phase concerning both atmospheric density and aerodynamic parameter influence. Extend Kalman filter was used to identify the comprehensive parameter online. Based on identification results, gradual fading-memory recursion least square method was used to build identification model of environment parameter. And the model was gradually revised based on the updated identification. Longitudinal and lateral guidance laws were designed. Drop point was estimated based on the identification model to limit the influence of environmental disturbance. The guidance simulations were carried out with atmosphere density and aerodynamic disturbance. The results demonstrate the identification model can predict the environment parameters accurately and the guidance method has enough robustness to environmental disturbance. |
| Key words: boost glide missile online identification predictor corrector guidance online prediction model |
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