基于基因表达式算法的某型发动机可调放气阀门基线建模Baseline Modeling of Engine Variable Bleed Valve Based on Gene Expression Programming Algorithm

DOI: 10.12677/CSA.2019.93064, PDF, HTML, XML, 下载: 427  浏览: 3,921

Abstract: Aiming at the problem that it is difficult to obtain the characteristic index of engine operation valves, adopting gene expression programming algorithm (GEP), using the quick access recorder (QAR) data, this paper mines and analyzes the engine variable bleed valves (VBV) operation base-line. The results show that, during VBV nonlinear regression analysis, GEP has the advantages of little deviation and high precision. GEP can also get specific and convenient function relations, which can improve the accuracy of VBV monitoring and fault diagnosis effectively.

1. 引言

2. 基因表达式编程算法

Figure 1. GEP algorithm flowchart

3. VBV工作基线函数的GEP算法设计

$VBV=f\left(N1K12,N2K25,VSV,TAT,T2.5\right)$ (1)

Table 1. Parameters of GEP algorithm

Figure 2. Variation curve of fitness

Figure 3. The original measured curve, fitting curve and their errors

4. VBV工作基线函数曲线拟合结果分析

GEP算法以一台发动机的数据经过300代的迭代计算后，确定的VBV工作基线为：

$VBV=0.2957+1.15|{d}^{\frac{4}{3}}|+0.2a{d}^{2}+0.6714d+0.1126a+0.0043b+0.0049c+0.0047e$ (2)

$RMSE=\sqrt{MSE}=\sqrt{\frac{1}{n}\underset{i=1}{\overset{n}{\sum }}{\left({\stackrel{^}{y}}_{i}-{y}_{i}\right)}^{2}}$ (3)

Table 2. RMS error obtained GEP method

5. 结论

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