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基于BP神经网络的柴油机动态输出扭矩预测建模
引用本文:龚正波,骆清国,李明杰,马向平. 基于BP神经网络的柴油机动态输出扭矩预测建模[J]. 装甲兵工程学院学报, 2010, 24(2)
作者姓名:龚正波  骆清国  李明杰  马向平
作者单位:1. 装甲兵工程学院机械工程系,北京,100072
2. 总装备部汽车试验场,江苏南京,210028
摘    要:比照测试柴油机负荷特性方法对某型废气涡轮增压柴油机进行了全工况热平衡台架试验,并以柴油机各稳定工况点台架试验的转速、加油尺杆位移、排气温度及相应输出扭矩的测试数据为训练、测试样本,通过BP神经网络的反复学习,得到了精度较高且泛化能力较强的柴油机动态输出扭矩预测模型。

关 键 词:柴油机  转速  扭矩  BP神经网络

Predictive Modeling for Dynamic Torque of Diesel Engine Based on BP Neural Network
GONG Zheng-bo,LUO Qing-guo,LI Ming-jie,MA Xiang-ping. Predictive Modeling for Dynamic Torque of Diesel Engine Based on BP Neural Network[J]. Journal of Armored Force Engineering Institute, 2010, 24(2)
Authors:GONG Zheng-bo  LUO Qing-guo  LI Ming-jie  MA Xiang-ping
Affiliation:GONG Zheng-bo1,LUO Qing-guo1,LI Ming-jie2,MA Xiang-ping1(1. Department of Mechanical Engineering,Academy of Armored Force Engineering,Beijing 100072,China,2. Automotive Proving Ground of the General Armament,Nanjing 210028,China)
Abstract:The full-conditions heat balance bench test of a certain type of exhaust-gas turbo-charged diesel engine is carried out according to load-characteristic test rules of diesel engine. Taking the rotation speed,oiling teeth bar displacement,exhaust gas temperature and corresponding output torque testing data of each steady working condition bench test as training sample and testing sample,a high precision and strong generalization predictive model for dynamic torque of diesel engine is established by repeatedl...
Keywords:diesel engine  rotation speed  torque  BP neural network  
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