Parameter identifying method for airplane trial flight data

Abstract

The invention discloses a parameter identifying method for airplane trial flight data. The method comprises: acquiring trial flight data; selecting a dependent variable as dependent variable data, selecting a plurality of independent variables as independent variable data and generating data scatters; carrying out geometric topology operation on all data scatters and mapping the data scatters into a multi-dimensional space; calculating the linear independent base function of each dimension in the multi-dimensional space; utilizing a linear independent function to fit all of the data scatters into a multi-dimensional curved surface; and based on the multi-dimensional curved surface, carrying out curve fitting on the dependent variable data and single independent variable data in the independent variable data so as to obtain a function relationship of the dependent variable data and single independent variable data. By calculating and fitting the multi-dimensional curved surface and decoupling the variables, the parameter identifying method does not need to carry out physical modeling and simplification according to the physical backgrounds of flight states. The parameter identifying method has excellent universality, and at the same time, is relatively lower in calculation amount, has high calculation efficiency and accuracy and is favorable to the efficient estimation of airplane performance.

Description

Technical field [0001] The invention relates to the field of aircraft design, in particular to a parameter identification method of aircraft test flight data. Background technique [0002] Evaluating aircraft performance based on aircraft flight test data is an important part of aircraft design. Aircraft test flight is the most direct and most important test for aircraft aerodynamic design. In-depth mining of aircraft test flight data is a very important part of identifying aircraft performance parameters and evaluating aircraft performance. It directly affects the development of aircraft test flight and aircraft aerodynamic design improvement. . [0003] At present, the following methods are generally used for parameter identification for evaluating aircraft performance. One is the physical model method. According to the aircraft motion equation, a polynomial physical model is designed for decoupling, adding correction coefficients, and then continuously fitting these correction...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved in the present invention is to overcome the parameter identification method used to evaluate the performance of the aircraft in the prior art, or there is a defect that relies on a deep understanding of the physical state of the aircraft and the establishment of a physical model, so the scope of application is small, or There is a defect that the amount of calculation is huge, the efficiency is low, and it is even difficult to apply in practice. A parameter identification method using tensor decoupling of aircraft flight test data is proposed

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