| 基于神经网络的柴油机混合建模方法研究 |
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| 引用本文： | 孙彬,曾凡明.基于神经网络的柴油机混合建模方法研究[J].船海工程,2007,36(2):48-50. |
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| 作者姓名： | 孙彬 曾凡明 |
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| 作者单位： | 海军工程大学船舶与动力学院,武汉,430033 |
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| 摘 要： | 针对柴油机性能仿真中的建模问题,分析不同建模方法的特点,提出机理和神经网络相结合的混合建模方法,采用神经网络在线补偿机理模型的误差,提高模型精度,并能够适应柴油机的时变特性。以6PA6型涡轮增压柴油机为例,在Matlab环境下建立机理-神经网络混合模型。仿真分析得出混合建模的一些结论。
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| 关 键 词： | 柴油机 机理模型 神经网络 混合建模 |
| 文章编号： | 1671-7953（2007）02-0048-03 |
| 修稿时间： | 2006-08-11 |
On the hybrid modeling method for the diesel engine based on neural network |
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| Authors: | SUN Bin ZENG Fan-ming |
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| Institution: | SUN Bin ZENG Fan-mingSchool of Naval Architecture and Power Naval University of Engineering Wuhan 430033 |
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| Abstract: | After analyzing different modeling methods of the diesel engine in performance simulation,a hybrid model using neural network to compensate the error from the principle model is described in this paper.It improves the model precision,and suit the behavior changing of diesel engine.The principle-neural network hybrid model of type 6PA6 turbocharged diesel engine is set up in environment of Matlab,some conclusions are drawn by simulation analysis. |
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| Keywords: | diesel engine principle model neural network hybrid model |
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