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.
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.
出处
《兰州工业学院学报》
2013年第6期7-11,29,共6页
Journal of Lanzhou Institute of Technology
关键词
喷油量
空燃比
BP神经网络
PID控制
参数整定
injection quantity
air fuel ratio
BP neural network
PID control
parameter tuning
