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Measuring Method of Aircraft Wing Load Based on Hybrid Feature Selection Algorithm

A technology for selecting algorithms and mixing features, applied in the aerospace field, can solve the problems of low measurement accuracy of flight load and inability to realize actual measurement of flight load, etc., and achieve the effect of high measurement accuracy and overcoming low measurement accuracy.

Inactive Publication Date: 2017-03-01
XIDIAN UNIV
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  • Application Information

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Problems solved by technology

The disadvantage of this method is that when solving the coefficient matrix, the least squares method is used, and the coefficient matrix may not be solved due to the irreversibility of the individual matrix, which makes this method unable to realize the actual measurement of the flight load; because the assumption is made by The optimal load model established by n-1 strain bridges must be obtained from the optimal load model established by n strain bridges, resulting in a low measurement accuracy of the load model established by this method for flight loads

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  • Measuring Method of Aircraft Wing Load Based on Hybrid Feature Selection Algorithm
  • Measuring Method of Aircraft Wing Load Based on Hybrid Feature Selection Algorithm
  • Measuring Method of Aircraft Wing Load Based on Hybrid Feature Selection Algorithm

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Embodiment Construction

[0050] Attached below figure 1 , further describe in detail the steps realized by the present invention.

[0051] Step 1, generate an initial training set.

[0052] Through wing finite element calculation and analysis, the force transmission path on the aircraft wing is determined, and multiple strain bridges covering all force transmission paths are installed on the aircraft wing.

[0053]On the wing of the aircraft, within the bearing range of the material of the aircraft wing, the load is loaded in sections, starting from 500 Newton, and increasing by 500 Newton each time, and recording the responses of all strain bridges corresponding to the load value.

[0054] All load values ​​and corresponding strain bridge response values ​​constitute the initial training set.

[0055] Step 2, data preprocessing.

[0056] A separate feature selection method is used to filter the initial training set to obtain the training set.

[0057] The separate feature selection method is car...

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Abstract

The invention discloses an aircraft wing load actual measurement method based on a hybrid feature selection algorithm. The method comprises the following realization steps: (1) generating an initial training set; (2) performing data pre-processing; (3) generating an initial population matrix; (4) generating an individual matrix; (5) solving a coefficient matrix of the individual matrix; (6) calculating the adaptability of the coefficient matrix; (7) generating a population matrix; (8) judging whether to terminate or not; (9) obtaining the optimal coefficient matrix; (10) calculating aircraft wing load in actual flight. According to the aircraft wing load actual measurement method, an independent feature selection method is adopted for preprocessing the initial training set, strain bridge data which is unrelated to and is weakly related to target load is deleted, then the population matrix is iteratively generated, and the adaptability of the population matrix is calculated to obtain the optimal coefficient matrix, so that the precision of aircraft wing load actual measurement is improved; meanwhile, a gradient matrix is generated, and the coefficient matrix is searched in the negative gradient matrix direction, so that the coefficient matrix is obtained.

Description

technical field [0001] The invention belongs to the field of aerospace technology, and further relates to an actual measurement method of an aircraft wing load based on a mixed feature selection algorithm in the technical field of flight load measurement. The invention can realize high-precision real-time measurement of aircraft wing loads. Background technique [0002] Flight load measurement plays an important role in the entire aircraft development process, and can verify whether the aircraft structure design is reasonable. In order to measure the flight load, the strain bridge is first modified on some typical sections of the aircraft, and then the ground load calibration test is carried out. By analyzing the corresponding relationship between the calibration load and the response of the strain bridge, the load model is established by using multiple linear regression. Finally, the actual flight strain bridge response data is substituted into the load model to obtain the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01L1/22
Inventor 马文平花广兵
Owner XIDIAN UNIV
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