COMPARATIVE APPROACH FOR OPTIMIZATION OF FUEL ECONOMY IN DIESEL CONTROL SYSTEM

Subject Area: Control system engineering

This paper on the improvement of fuel consumption using an intelligent neuro-based MPC of aheavy-duty vehicle is focused on analyzing the performance of various machine actuators controller techniques such as Model Predictive Control (MPC), Adaptive Model Predictive Control and (Adaptive-MPC) and Artificial Neural Network Based-MPC. This study reviewed various research works conducted on this field of study for the improvement of this system and equally reviewed the electronic diesel control system, diesel fuel injection actuator system and electronic engine control system. Then, the techniques analyzed in this paper were also discussed. The result achieved in this study presented the artificial neural network-based-MPC technique as the most efficient with an improved performance of 47.6%. This result shows that the technique is the most efficient among the others for improving fuel/energy conservation in heavy-duty vehicles and is recommended for adoption.