| 引用本文: | 吴建军,张育林,陈启智.液体火箭发动机基于模型的故障检测算法.[J].国防科技大学学报,1994,16(4):8-15.[点击复制] |
| Wu Jianjun,Zhang Yulin,Chen Qizhi.Model-based Fault Detection Algorithm for Liquid Rocket Engine[J].Journal of National University of Defense Technology,1994,16(4):8-15[点击复制] |
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| 液体火箭发动机基于模型的故障检测算法 |
| 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: |
| 针对泵压式供应系统液体火箭发动机的故障监控问题，建立了用于发动机故障检测的非线性动态数学模型，设计并实现了发动机系统的广义卡尔曼滤波器。利用新息序列的统计特性，进行了发动机故障新息检测算法的仿真研究，讨论了降低滤波器计算费用的方法以及置信度、自由度对检测算法性能的影响。本文的工作为进一步研究发动机故障在线实时检测算法奠定了重要基础。 |
| 关键词: 液体火箭发动机 数学模型 故障检测 卡尔曼滤波器 新息序列 |
| DOI： |
| 投稿日期：1994-05-02 |
| 基金项目:国家自然科学基金资助项目 |
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| Model-based Fault Detection Algorithm for Liquid Rocket Engine |
| Wu Jianjun, Zhang Yulin, Chen Qizhi |
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(Department of Astronautics Technology，NUDT，Changsha, 410073)
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| Abstract: |
| This paper presents the nonlinear dynamic mathematical models of the liquiel rocket engine with turbopump system, which can be used for the development of model-based fault defection. The Extended Kalmcm Filter (KEF) of the engine system has been designed and realized on computer. According to the statistical characteristics of the residuals, innovation-hased detection algorithm has been studied to defect the faults of the engine. The paper also discussed a few methods of reducing the expenses in KEF Calculation and the effects of belief factur and the degrees of freedom on the detection ability of the algorithm. The research provides the important basis for funther study of the model-based real-time detectim algorithm. |
| Keywords: liquid rocket engine mathematical model fault detection extended kalman filter Innovation sequence |
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