Based On Artificial Neural Networks The Diesel Engine Speed Control

The diesel engine control system based on Genetic BP NN is the close loop control system.The input of this system is rack displacement.The output is rotation rate.This system can improve the system performance index .And it also improves the vehicle driving force and control stability.Because the traditional PID exists the shortcomings of unadjustment of parameters and inferior real time nature,the Genetic BP neural networks PID control algolithm is proposed in the dissertation. The Genetic algorithm and BP neural networks are introduced to optimize three control parameters. The parameters such as parameter code rule, fit function, cross operator and variance operator in genetic algorithm are ascertained in the dissertation.The optimized parameters of PID are applied to the diesel engine rotation rate control system.In order to confirm the control effect of Genetic BP neural networks PID control algolithm, the diesel engine rotation rate mathematic model has built.Under Matlab/Simulink environment,the algolithm is vertified.The simulating results indicate that the algolithm based on Genetic BP neural networks PID is able to improve diesel engine performance index.