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BP网络在ASM底盘测功机模型识别中的应用
引用本文:胡久强,熊建国,罗国玺,李恒宾,靳生盛. BP网络在ASM底盘测功机模型识别中的应用[J]. 汽车科技, 2011, 0(2): 59-62. DOI: 10.3969/j.issn.1005-2550.2011.02.016
作者姓名:胡久强  熊建国  罗国玺  李恒宾  靳生盛
作者单位:1. 西南文通大学,机械工程学院,成都,610031
2. 青海交通职业技术学院,汽车工程系,西宁,810003
基金项目:青海省交通建设科技项目
摘    要:针对ASM测试系统用底盘测功机,提出一种应用改进型BP神经网络对其进行模型识别及扭矩预估计的方法。根据试验数据,应用该方法建立了底盘测功机转矩的预估模型,并对其进行了试验仿真,仿真结果表明:其建模过程简洁,数据拟合精度高。不仅如此,该方法对ASM测试系统的控制也具有一定的参考价值。

关 键 词:底盘测功机  BP神经网络  扭矩估计  ASM

ASM Chassis Dynamometer Model Identification of Applied Research Based on BP Neural Network
HU Jiu-qiang,XIONG Jian-guo,LUO Guo-xi,LI Heng-bin,JIN Sheng-sheng. ASM Chassis Dynamometer Model Identification of Applied Research Based on BP Neural Network[J]. Automobile Science and Technology, 2011, 0(2): 59-62. DOI: 10.3969/j.issn.1005-2550.2011.02.016
Authors:HU Jiu-qiang  XIONG Jian-guo  LUO Guo-xi  LI Heng-bin  JIN Sheng-sheng
Affiliation:1.Southwest Jiaotong University,Chengdu 610031,China; 2.Qinghai Communication Technical College,Xining 810003,China)
Abstract:Basing on the test systems of ASM chassis dynamometer,this paper put a improved methods of BP neural network which used to the model identification and torque estimating.According to the experimental data,the model identification of ASM chassis dynamometer is established,and the simulation of real test is going.The results indicate that the modeling process is concise,data fitting is accurate.Furthermore,the method has certain reference value for the control of ASM test system.
Keywords:ASM
本文献已被 CNKI 维普 万方数据 等数据库收录!
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