Analysis of LPG Engine PID Parameter Control of Transient Air-fuel Ration Based on Improved Elman Neural Network

Abstract

This paper puts forward one kind of air-fuel ration control method which integrates improved Elman neural network with normal PI control.It constructs a model of the single LPG electro-plating engine and simulation platform for air-fuel ration controlling with GT-Power software which seamless connect to Matlab/Simulink based on JL1P39FMB single cylinder engine and develop the electronic fuel-injected controller based on Intel MCS-96. It also constructs mini LPG electro-plating engine experiment system for air-fuel ration to the LPG Injection System and adopt the new inlet channel injection type of duty ratio controlling injector. Help the throttle percentage-rev- duty cycle pulse spectrum diagram after the calibration bench experiment for the best duty cycle of mini electronic LPG-injected under the steady working conditions. It predicts the air-fuel ration signals of nontransmission delay through the Elman neural network. The normal PI controller which deals with the predictive signals implements  the concurrent control of air-fuel ration under transient conditions. The bench test and the simulation result indicate that the control methods have the strong adaptation, which can make the statism of air-fuel ration under transient conditions  on ±5%.