| 基于模糊神经网络的汽油机怠速控制 |
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| 引用本文： | 吴自明. 基于模糊神经网络的汽油机怠速控制[J]. 农机化研究, 2006, 0(12): 157-159,164 |
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| 作者姓名： | 吴自明 |
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| 作者单位： | 南京机械工业职工大学,南京,210037 |
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| 基金项目： | 江苏省高校自然科学基金 |
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| 摘 要： | 针对发动机怠速工况的非线性、时变性和精确数学模型难以建立的特点，提出了怠速控制的模糊神经网络方法；利用模糊神经网络的模糊信息处理能力及自学习：叻能进行发动机怠速控制，给出了BP网络模型。实验结果表明：使用神经网络对汽油机进行怠速控制效果良好．鲁棒性强，可有效提高发动机怠速品质，改善发动机的性能指标。
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| 关 键 词： | 动力机械工程 汽油机 试验研究 模糊神经网络 怠速控制 |
| 文章编号： | 1003-188X（2006）12-0157-03 |
| 收稿时间： | 2006-02-16 |
| 修稿时间： | 2006-02-16 |
Idle Speed Control of Gasoline Engine Based on Fuzzy Neural Network |
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| WU Zi-ming. Idle Speed Control of Gasoline Engine Based on Fuzzy Neural Network[J]. Journal of Agricultural Mechanization Research, 2006, 0(12): 157-159,164 |
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| Authors: | WU Zi-ming |
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| Affiliation: | Nanjing College of Machinery Worker, Nanjing 210037, China |
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| Abstract: | There are non-linear and changeable elements affecting idle speed of gasoline engines, so it is difficult to set up accurate mathematic model. This paper presents the fuzzy neural method for idle speed control of engines, by which BP neural network model is set up. The experimental result shows FNNC can perform excellent control effect, good robustness and improvement of idle running quality of engines. |
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| Keywords: | power machinery engineering gasoline engine experiment research fuzzy neural network idle speed control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
