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STUDY ON INJECTION AND IGNITION CONTROL OF GASOLINE ENGINE BASED ON BP NEURAL NETWORK
引用本文:Zhang Cuiping Yang QingfoCollege of Mechanical Engineering,Taiyuan University of Technology,Taiyuan 030024,China. STUDY ON INJECTION AND IGNITION CONTROL OF GASOLINE ENGINE BASED ON BP NEURAL NETWORK[J]. 机械工程学报(英文版), 2003, 16(4): 441-444
作者姓名:Zhang Cuiping Yang QingfoCollege of Mechanical Engineering  Taiyuan University of Technology  Taiyuan 030024  China
作者单位:Zhang Cuiping Yang QingfoCollege of Mechanical Engineering,Taiyuan University of Technology,Taiyuan 030024,China
摘    要:According to advantages of neural network and characteristics of operating procedures ofengine, a new strategy is rapresented on the control of fuel injection and ignition timing of gasolineengine based on improved BP network algorithm. The optimum ignition advance angle and fuelinjection pulse band of engine under different speed and load are tested for the samples trainingnetwork, focusing on the study of the design method and procedure of BP neural network in engine

关 键 词:神经网络  BP算法  汽油机  注射点火控制

STUDY ON INJECTION AND IGNITION CONTROL OF GASOLINE ENGINE BASED ON BP NEURAL NETWORK
ZhangCuiping YangQingfo. STUDY ON INJECTION AND IGNITION CONTROL OF GASOLINE ENGINE BASED ON BP NEURAL NETWORK[J]. Chinese Journal of Mechanical Engineering, 2003, 16(4): 441-444
Authors:ZhangCuiping YangQingfo
Affiliation:CollegeofMechanicalEngineering,TaiyuanUniversityofTechnology,Taiyuan030024,China
Abstract:According to advantages of neural network and characteristics of operating procedures of engine, a new strategy is represented on the control of fuel injection and ignition timing of gasoline engine based on improved BP network algorithm. The optimum ignition advance angle and fuel injection pulse band of engine under different speed and load are tested for the samples training network, focusing on the study of the design method and procedure of BP neural network in engine injection and ignition control. The results show that artificial neural network technique can meet the requirement of engine injection and ignition control. The method is feasible for improving power performance, economy and emission performances of gasoline engine.
Keywords:Neural network BP algorithm Gasoline engine Control
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