| 跨声速气动参数在线辨识方法研究 |
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| 引用本文： | 余舜京,程艳青,钱炜祺.跨声速气动参数在线辨识方法研究[J].宇航学报,2011,32(6). |
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| 作者姓名： | 余舜京 程艳青 钱炜祺 |
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| 作者单位： | 1. 中国科学院上海小卫星工程中心,上海,200050
2. 中国空气动力研究与发展中心计算空气动力研究所,四川绵阳,621000 |
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| 基金项目： | 空气动力学国家重点实验室基金 |
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| 摘 要： | 以增广扩展卡尔曼滤波作为在线辨识工具,对再入体跨声速区的气动参数在线辨识方法展开研究.系统分析了增广扩展卡尔曼滤波对状态和参数联合辨识效果,发现缓变气动参数辨识效果良好,但气动参数变化剧烈时辨识结果有较大偏差,为克服这一缺点,将强跟踪思想引入到一般的增广扩展卡尔曼滤波器中.通过仿真表明,强跟踪增广扩展卡尔曼滤波器可以有效克服一般增广扩展卡尔曼滤波在参数变化较大时估计误差较大的缺点.
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| 关 键 词： | 增广扩展卡尔曼滤波 强跟踪滤波 在线辨识 |
Research on Transonic Aerodynamic Parameter Online Identification |
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| YU Shun-jing,CHENG Yan-qing,QIAN Wei-qi.Research on Transonic Aerodynamic Parameter Online Identification[J].Journal of Astronautics,2011,32(6). |
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| Authors: | YU Shun-jing CHENG Yan-qing QIAN Wei-qi |
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| Institution: | YU Shun-jing1,CHENG Yan-qing2,QIAN Wei-qi2(1.Shanghai Engineering Center for Microsatellites,Shanghai 200050,China,2.Computational Aerodynamics Institute,Chinese Aerodynamics Research and Development Center,Mianyang Sichuan 621000,China) |
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| Abstract: | Reentry body transonic aerodynamic parameter online identification methods are researched,and an augmented extended kalman filter is used as the online identification tools.Effect of the augmented extended kalman filter approach on joint state and parameter estimation is overall analyzed,and it is found that slowly varying parameters are well estimated,but estimate values for fast varying parameters are largely divergent.To overcome this disadvantage,a new kind of strong tracking filter is introduced into t... |
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| Keywords: | Augmented extended kalman filter Strong tracking filter Online identification |
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