| 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.[点击复制] |
| Wu Jianjun,Zhang Yulin,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[点击复制] |
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| 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 |
| 吴建军, 张育林, 陈启智 |
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(国防科技大学 航天技术系 湖南 长沙 410073)
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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。 |
| 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 |
| DOI： |
| 投稿日期：1997-04-20 |
| 基金项目:校实验研究基金资助项目 |
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| The Joint Estimation Approach of States and Parameters for Liquid Rocket Engine Health Monitoring |
| Wu Jianjun, Zhang Yulin, Chen Qizhi |
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(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. |
| Keywords: liquid propellant rocket engine, fault diagnosis, fault isolation, state estimation, parameter estimation, nonlinear dynamic system |
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