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论文:2019,Vol:37,Issue(6):1231-1237 |
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引用本文： |
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刘俊豪, 郑华, 段世强, 裴承鸣. 一种基于EM-KS算法的连续变速颤振边界预测方法[J]. 西北工业大学学报 |
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LIU Junhao, ZHENG Hua, DUAN Shiqiang, PEI Chengming. A New Method of Flutter Boundary Prediction for Progressive Variable Speed Based on EM-KS Algorithm[J]. Northwestern polytechnical university |
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| 一种基于EM-KS算法的连续变速颤振边界预测方法 |
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| 刘俊豪1,2, 郑华1, 段世强1, 裴承鸣1 |
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1. 西北工业大学 动力与能源学院, 陕西 西安 710072;
2. 上海飞机设计研究院, 上海 201210 |
| 摘要: |
| 连续变速颤振试验（FTPVS）是近年来积极探索的一种颤振试验方案。针对该类试验中信号非平稳的特点，创新性地将期望最大化方法迭代优化的思想用于改善连续变速颤振信号的建模精度，提出了一种基于该方法的卡尔曼滤波平滑（EM-KS）算法，有效提高了时变参数的辨识性能。进而结合颤振时域判据，给出了可递推实现的连续变速颤振试验的颤振边界预测方法。最后通过数值仿真和实测数据对所提方法的可靠性与工程适用性进行了验证，结果表明，基于EM-KS颤振边界预测方法不依赖于平稳随机过程的假设，精确度可以满足实际工程需要。 |
| 关键词:
EM-KS算法
卡尔曼滤波平滑
TVAR
颤振边界预测
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| A New Method of Flutter Boundary Prediction for Progressive Variable Speed Based on EM-KS Algorithm |
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| LIU Junhao1,2, ZHENG Hua1, DUAN Shiqiang1, PEI Chengming1 |
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1. School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, China;
2. Shanghai Aircraft Design and Reseavch Institute, Shanghai 201210, China |
| Abstract: |
| The flutter test with progression variable speed is actively explored in recent years. This paper proposes an improved Kalman smoothing filter (EM-KS) algorithm based on expectation maximization for the non-stationary characteristics of the signal in this type of experiment, which can effectively improve the estimation accuracy of time-varying parameter modeling. Combining with the flutter time domain criterion, a new method for flutter boundary prediction of flutter test with progression variable speed that can be recursively implemented is given. Finally, the reliability and engineering applicability of this method are validated by numerical simulation and measured data. The results show that the flutter boundary prediction method based on EM-KS does not depend on the assumption of stationary stochastic process, and the accuracy can meet the actual engineering needs. |
| Key words:
EM-KS algorithm
Kalman filter smoothing
TVAR
flutter boundary prediction
numerical simulation
flutter time domain criterion
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| 收稿日期: 2018-11-08
修回日期:
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| DOI: 10.1051/jnwpu/20193761231 |
| 基金项目: 中央高校基本科研业务费（31020190MS702）及国家科技重大专项（2017-V-0011-0062）资助 |
| 通讯作者:
Email： |
| 作者简介: 刘俊豪(1993-),西北工业大学硕士研究生,主要从事信号与信息处理研究。
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参考文献: |
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