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基于PID神经网络自动换挡过程油门调速
引用本文:彭建鑫,金辉,陈慧岩,陶金陵.基于PID神经网络自动换挡过程油门调速[J].北京理工大学学报,2011,31(10):1179-1183.
作者姓名:彭建鑫  金辉  陈慧岩  陶金陵
作者单位:北京理工大学机械与车辆学院,北京,100081
基金项目:国家自然科学基金资助项目(50575024)
摘    要:提出了一种在AMT换挡过程中运用PID神经网络进行油门调速的方法.通过台架实验,建立了东风康明斯EQB235-20柴油发动机的油门实验模型,同时在Matlab平台上对PID神经网络进行训练,使其输出逼近理想油门实验模型.将训练后的PID神经网络移植入ECU,进行发动机调速实验.实验表明,PID神经网络有响应速度快、鲁棒性好、收敛特性好的特点,提高了车辆的自适应能力.

关 键 词:神经网络  油门调速  机械式自动变速器  比例积分微分
收稿时间:5/4/2010 12:00:00 AM

Research on Engine Speed Regulation Based on PID Neural Network in AMT Gear Shift
PENG Jian-xin,JIN Hui,CHEN Hui-yan and TAO Jin-ling.Research on Engine Speed Regulation Based on PID Neural Network in AMT Gear Shift[J].Journal of Beijing Institute of Technology(Natural Science Edition),2011,31(10):1179-1183.
Authors:PENG Jian-xin  JIN Hui  CHEN Hui-yan and TAO Jin-ling
Institution:PENG Jian-xin,JIN Hui,CHEN Hui-yan,TAO Jin-ling(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China)
Abstract:A new method for regulating engine speed during automated mechanical transmission(AMT) gear shift is proposed using PID neural network(PIDNN).With the help of engine platform-test,Dongfeng Cummis EQB235-20 diesel engine's throttle experimental model was established.Matlab software was used to train PIDNN to approach the characteristics of throttle experimental model.Engine speed control experiment was conducted with PIDNN,which was compiled into ECU.The results prove that,compared with ordinary PID,PIDNN sh...
Keywords:neural network  engine speed regulation  automated manual transmission  proportion integration differentiation(PID)  
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