New Engine Simulation Structure Model Applied to SI Engine

Abstrak

High  ratio  emissions  that  outcome  from  incomplete  combustion cause  air  contamination,  poorer  the  performance  of  the  spark ignition  (SI)  engine  and  raise  fuel  consumption.  Uncompleted combustion emitted a high ratio of CO, HC, NOx and PM harmful emissions such as come into atmosphere. This study has reviewed existing engine simulation structures using different methods as s as follows Neural Networks (NN), Sliding Mode Control (SMC), Proportional-Integral (PI) Predictive Control (MPC) and DRNN- based MPC method. The existing engine models were compared with  the  new  engine  simulation  structure  model  which  was proposed  by  the  authors,  using  Hybrid  Fuzzy  Logic  Control (HFLC) method in term of AFR.  The simulation engine model in Matlab/Simulink  using  new  engine  simulation  has  founded  that AFR  (15.02,  14.4)  which  closes  to  the  stoichiometric  value  of 14.7 compared by using Neural Networks (NN) method, a Sliding Mode  Control  (SMC)  method,  a  Proportional' Integral  (PI) control  method,  Model  Predictive  Control  (MPC)  method  and DRNN-based MPC method.