| 状态—参数联合估计方法及其在液体火箭发动机健康监控中的应用 |
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| 引用本文： | 吴建军,张育林,陈启智. 状态—参数联合估计方法及其在液体火箭发动机健康监控中的应用[J]. 国防科技大学学报, 1997, 19(4): 14-20 |
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| 作者姓名： | 吴建军 张育林 陈启智 |
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| 作者单位： | 国防科技大学航天技术系 |
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| 基金项目： | 校实验研究基金资助项目 |
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| 摘 要： | 基于传统的扩展卡尔曼滤波器（ＥＫＦ），本文提出了一种带次优渐消因子的ＥＫＦ用于非线性时变随机动态系统状态与参数的联合估计。应用于液体火箭发动机健康监控算法的仿真研究表明，本文所提出的联合估计器具有较好的收敛性、实时性和动态跟踪能力。此外，文中还讨论了联合估计器应用于实际系统的有关问题。
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| 关 键 词： | 液体推进剂火箭发动机，故障诊断，故障隔离，状态估计，参数估计，非线性动态系统 |
| 收稿时间： | 1997-04-20 |
The Joint Estimation Approach of States and Parameters for Liquid Rocket Engine Health Monitoring |
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| Wu Jianjun,Zhang Yulin and Chen Qizhi. The Joint Estimation Approach of States and Parameters for Liquid Rocket Engine Health Monitoring[J]. Journal of National University of Defense Technology, 1997, 19(4): 14-20 |
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| Authors: | Wu Jianjun Zhang Yulin Chen Qizhi |
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| Affiliation: | Department of Aerospace Technology, NUDT, Changsha, 410073;Department of Aerospace Technology, NUDT, Changsha, 410073;Department of Aerospace Technology, NUDT, Changsha, 410073 |
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| Abstract: | Based on a coventional Extended Kalman Filter (EKF), a sub-optimal fading factor EKF is proposed in this paper, which can be used for the joint estimation of states and parameters of nonlinear time-varying stochastic systems. It is used for health monitoring in such a complex system as liquid rocket engine. Numerical simulation result shows the proposed estimator has better properties such as convergence, real time, and dynamic tracking ability etc. . In addition, some problems connected with the joint estimation and the applicability for real plants are also discussed. |
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| Keywords: | liquid propellant rocket engine fault diagnosis fault isolation state estimation parameter estimation nonlinear dynamic system |
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