| 基于RBF神经网络的航空发动机起动模型辨识与仿真 |
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| 引用本文： | 陈超,王剑影.基于RBF神经网络的航空发动机起动模型辨识与仿真[J].燃气涡轮试验与研究,2005,18(1):17-20,26. |
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| 作者姓名： | 陈超 王剑影 |
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| 作者单位： | 1. 空军工程大学,工程学院,陕西,西安,710038
2. 空军驻无锡地区第一军事代表室,江苏,无锡,214001 |
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| 摘 要： | 为解决基于气动热力学方程建立发动机起动模型时存在的困难，本文以某型发动机起动调整试验的试车数据为样本，使用径向基函数(RBF)神经网络对在某一大气条件下的发动机起动模型进行了辨识；并使用另外一组试车数据，通过辨识模型对起动过程进行了仿真。结果表明，用RBF神经网络辨识发动机起动模型，具有方法简单、学习速度快、辨识精度较高等优点。
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| 关 键 词： | RBF神经网络 模型辨识 辨识模型 仿真 辨识精度 数据 学习速度 发动机起动 试车 使用 |
| 文章编号： | 1672-2620(2005)01-0017-04 |
Identification and Simulation of an Engine Start Model Based on RBF Neural Networks |
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| CHEN Chao,WANG Jian-ying.Identification and Simulation of an Engine Start Model Based on RBF Neural Networks[J].Gas Turbine Experiment and Research,2005,18(1):17-20,26. |
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| Authors: | CHEN Chao WANG Jian-ying |
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| Institution: | CHEN Chao1,WANG Jian-ying2 |
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| Abstract: | In order to solve problem in creating an aero engine start model based on thermodynamic equations, RBF neural networks are used to identify the start model at an atmospheric condition on the basis of aero engine test data. With the start model identification, another set of data is used to simulate the start process. The results show that this start model features simple procedure, quick to learn and precision when use RBF neural networks for engine model identification. |
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| Keywords: | aero engine start neural networks model identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
