| 基于BP神经网络PID参数整定的空燃比控制策略研究 |
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| 引用本文： | 刘小斌. 基于BP神经网络PID参数整定的空燃比控制策略研究[J]. 兰州工业高等专科学校学报, 2013, 0(6): 7-11,29 |
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| 作者姓名： | 刘小斌 |
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| 作者单位： | 兰州工业学院汽车工程学院,甘肃兰州730050 |
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| 摘 要： | 采用BP神经网络实现在过渡工况下发动机空燃比的PID控制系统的参数整定，建立了发动机燃烧及燃油供给系AMESim仿真模型，利用MATLAB／Simulink设计了改进空燃比BP神经网络PID控制仿真模型，在AMESim环境下进行了动态仿真．仿真试验表明：基于BP神经网络PID参数整定的空燃比控制策略具有良好的自适应性能，与经典PID控制相比，改善了过渡工况下燃油的供给，实现了空燃比的精确控制．
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| 关 键 词： | 喷油量 空燃比 BP神经网络 PID控制 参数整定 |
Study on the Control Strategy of Air-fuel Ratio of Network PID Parameter Tuning Based on BP Neural |
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| LIU Xiao-bin. Study on the Control Strategy of Air-fuel Ratio of Network PID Parameter Tuning Based on BP Neural[J]. Journal of Lanzhou Higher Polytechnical College, 2013, 0(6): 7-11,29 |
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| Authors: | LIU Xiao-bin |
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| Affiliation: | LIU Xiao-bin (College of Automotive Engineering, Lanzhou Institute of Technology, Lanzhou 730050, China) |
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| Abstract: | The parameter of PID controller of air-fuel ratio in transient conditions is set by BP neural networks. AMESim simulation model of engine combustion and fuel supply system is established, BP neural network PID simulation module of air-fuel ratio control system is designed by MATLAB/Simulink and simulated dynamically in AMESim. The simulation experiment shows that the control strategy has good adaptive performance. Compared with the classical PID control, it can improve the stable supply of transient fuel and realize the accurate control of the air-fuel ratio. |
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| Keywords: | injection quantity air fuel ratio BP neural network PID control parameter tuning |
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