基于插值预测模型的静压源误差修正方法研究

Research on Method for Static Source Error Correction Based on Interpolation Prediction Model

静压源误差是各类航空器都会面临的问题,空速管如何测得更为准确的大气数据,成为困扰无数学者的关键问题。目前,国内外研究大多从静压信号本身入手,寻找静压信号误差与空速、攻角等参数的关系,从而确定滤波函数进行误差修正。因为空速管所处的工作环境千变万化,单一的滤波函数很难应付多变的工作情况,因此导致滤波函数实用性差。为了克服以上问题,旨在建立一个受其他参数影响较小,通用性更强的误差修正模型。插值预测模型首先根据训练数据对空速管的实际输出进行趋势预测,对预测结果进行误差分析,然后采用插值法对预测结果进行修正,最终确定实际输出结果。通过理论和实例对该模型的使用效果进行了验证,确定其切实可用。

The static source error is a problem that all kinds of aircraft will face.How to measure the more accurate atmospheric data by the airspeed tube has becom ea key problem that puzzles countless scholars.At present,most researches at home and abroad start with the static pressure signal itself and find the relationship between the static source error and airspeed,angle of attack and other parameters,so as to determine the filter function for error correction.Because the working environment of the pitot static probe is in a state of flux,a single filter function is hard to cope with the changeable working conditions,resulting in poor practicality of the filter function.In order to overcome the above problems,this paper aims to establish an error correction model that is less affected by other parameters and more versatile.Firstly,the interpolation prediction model predicts the actual output of the airspeed tube based on the training data,and analyzes the error of the prediction results.Then the interpolation method is used to correct the prediction result and the actual output results are finally determined.In this paper,the effect of the model is verified by theory and example,and it is proved to be practical.