Component map correction of aero-engine based on genetic algorithm

被引：0

作者：

机构：

[1] Jiangsu Province Key Laboratory of Aerospace Power Systems, Nanjing University of Aeronautics and Astronautics

来源：

Pan, P. (124849365@qq.com) | 1600年 / Beijing University of Aeronautics and Astronautics (BUAA)卷 / 40期

关键词：

Aero-engine; Changed fitness function; Components characteristics modification; Genetic algorithm;

D O I：

10.13700/j.bh.1001-5965.2013.0333

中图分类号：

学科分类号：

摘要：

The components characteristic modification technology was studied. A model optimization algorithm based on changed fitness function was proposed to reduce the modeling error and improve the model accuracy. Based on the static model, characteristic correction coefficients of every component, air-entraining correction coefficients and pressure recovery correction coefficients were optimized to achieve high matching accuracy of engine model outputs to test data. The improved genetic algorithm with adaptive crossover rate and mutation rate was adopted, and the weighting coefficient in fitness function was adjusted according to the error. Then the trapping in local optimal solution was avoided and the maximum modeling error was reduced. Simulation results show that the average error of test parameters decrease from 2.4208% to 0.3217% after modification, and the model meets the requirements that the static error should be less than 2%.

引用

页码：690 / 694

页数：4

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