| 低气压环境下柴油机涡轮增压器转速实车估算方法 |
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| 引用本文： | 王宪成,杨莹,何星,刘海涛. 低气压环境下柴油机涡轮增压器转速实车估算方法[J]. 装甲兵工程学院学报, 2011, 25(3): 35-38 |
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| 作者姓名： | 王宪成 杨莹 何星 刘海涛 |
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| 作者单位： | 1. 装甲兵工程学院机械工程系,北京,100072
2. 武警沈阳指挥学院,辽宁沈阳,110113 |
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| 摘 要： | 针对涡轮增压器转速实车测量中存在安装困难、精度低的问题,提出了利用RBF神经网络和BP神经网络估算涡轮增压器转速的方法。分别建立了基于RBF神经网络和BP神经网络增压器转速估算模型,通过与台架试验测试样本比较,模型误差分别2.25%和2.27%。同时,RBF神经网络较BP神经网络,具有训练次数少,收敛速度快、结果稳定的优点,更适合实车涡轮增压器转速估算。
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| 关 键 词： | 人工神经网络 增压器转速 估算 |
Measuring the Turbosupercharger Speed of Actual Vehicle in Low Pressure Conditions |
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| WANG Xian-cheng,YANG Ying,HE Xing,LIU Hai-tao. Measuring the Turbosupercharger Speed of Actual Vehicle in Low Pressure Conditions[J]. Journal of Armored Force Engineering Institute, 2011, 25(3): 35-38 |
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| Authors: | WANG Xian-cheng YANG Ying HE Xing LIU Hai-tao |
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| Affiliation: | WANG Xian-cheng1,YANG Ying1,HE Xing1,LIU Hai-tao2(1.Department of Mechanical Engineering,Academy of Armored Force Engineering,Beijing 100072,China,2.Department of Armed Police Service,Command of Armord Shenyang Police Engineering,Shenyang 110113,China) |
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| Abstract: | There are some problems when measuring turbosupercharger speed in actual vehicle.Two methods for mesauring the turbosupercharger speed by means of the RBF neural network and BP neural network are introduced.Accordingly,the RBF neural network and BP neural network estimation modles are set up.Compared with the bench test sample,the model errors are 2.25% and 2.27%.Meanwhile,in comparation with the BP neural network,the RBF neural network has less training times and fast convergence speed and stable result,wh... |
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| Keywords: | artificial neural network turbosupercharger speed estimation |
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