基于 BP神经网络 PID参数整定的空燃比控制策略研究

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 .