Fuel Control System Modeling For LPG Fueled Engine Using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
Suroto Munahar, Muji Setiyo, Bagiyo Condro Purnomo
Universitas Muhammadiyah Magelang
Abstract
LPG is an alternative fuel for gasoline engines that have almost all basic properties, such as energy content, octane number, automatic ignition temperature, flame speed, and flammability limits. The CO, CO2, HC, and NOx emissions produced by LPG engines are lower than current gasoline engines. However, LPG vehicles with first generation LPG kits (vaporizer and mixer) generally waste fuel during deceleration. Therefore, this study develops fuel control during deacceleration with Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Simulation results show that the controller is able to provide a more realistic picture of the dynamics of AFR during deceleration. In conclusion, ANFIS is very promising to be implemented as an AFR controller in LPG-fueled vehicles.
Keywords: ANFIS, Controller, LPG, Fuel
Topic: Mechanical Engineering