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飞行仿真动态数据验证的时序建模方法 被引量:3

Modeling Method of Time Series in Dynamic Data Validation of Flight Simulation
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摘要 模型输出数据的一致性作为检验模型正确与否和评估其有效性的重要指标,可采用时序建模的方法验证。结合飞行试验和仿真模型的输出数据,建立AR模型并对两者的一致性进行验证。首先计算时间序列的偏相关函数,确定模型的类型和合适阶数,然后采用Marple算法解yule-walker方程,利用matlab软件的相关命令直接算出模型中的参数,最后得出结论。 The consistency of the model's output data is important to model's correctness and validity. It can be validated by the modeling method of time series. Based on the output data of aero examination and simulation model, the AR models were set up and the consistency was validated. Firstly, the partial autoregressive function was computed and the type and order of the model are ascertained. Then, the yule-walker equation was computed through Marple method and the parameters of AR model were computed in matlab software. At last, the conclusion is given.
出处 《兵工自动化》 2008年第12期35-36,44,共3页 Ordnance Industry Automation
关键词 动态数据 一致性验证 时间序列 AR模型 Dynamic data Consistency validation Time series AR model
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