Evaluating the effectiveness of the data smoothing algorithm in solving the problem of improving the accuracy of the measurements in a closed series
The purpose of this article is to present an algorithm developed to improve the accuracy of a promising technique for separate identification of the effective engine thrust and aerodynamic drag of an aircraft. The author made suggestions for further development of this technique. It is known that the correlation between the regressors reduces the precision. A model that uses highly correlated data may be erroneous. The main idea of the algorithm is to pre-smooth the data. Moreover, direct numerical integration of the system of differential equations does not give positive results, since the constant components of the measurement errors of the input signals lead to the appearance of an error of the linear trend type. To eliminate this effect, the authors proposed the introduction of a vector of unknown parameters consisting of constant components of signal measurement errors. The article presents the results of the separate identification method both without the new algorithm and in conjunction with it. The results obtained confirm the effectiveness of the proposed approach. The example shows that the algorithm significantly improves the accuracy of the measurements in a closed series. This approach has not been used before, which confirms the scientific novelty.