基于遗传算法与评估模型的飞行载荷实测研究
收稿日期: 2013-11-20
修回日期: 2014-03-28
网络出版日期: 2014-04-14
Flight Load Measurement Based on Genetic Algorithm and Evaluating Model
Received date: 2013-11-20
Revised date: 2014-03-28
Online published: 2014-04-14
赵燕 . 基于遗传算法与评估模型的飞行载荷实测研究[J]. 航空学报, 2014 , 35(9) : 2506 -2512 . DOI: 10.7527/S1000-6893.2014.0031
To obtain the optimum load equation for flight load measurement, load-equation-evaluating model is constructed which can represent the math and physics meanings of load equation. Based on the above model and genetic algorithm (GA), a new method of building load equation—EMGA is proposed by the evaluation of load equation driving the building of load equation. Exhaust research (ES) method, traditional GA and EMGA are used to build the shear equations of certain wing root, where the evaluating parameters of load equations obtained with three methods are compared. Moreover, those built equations with the three methods are applied to measure flight load. The results show that the EMGA can obtain the optimum load equation; the dispersion level of flight load using EMGA is lower than those using ES method and GA, and the measured result using the optimum load equation is regarded as the final measured flight load.
Key words： flight load; strain gage; genetic algorithm; load equation; evaluating model
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