Development of a Transfer Function (TF) Model for CNG Control System Design Predictions Suroto Munahar(a*), Muji Setiyo(b), Madihah Mohd Saudi(c), Azuan Ahmad(c), Bagiyo Condro Purnomo(a)
a) Department of Automotive Engineering, Universitas Muhammadiyah Magelang, Jl. Bambang Sugeng km.05, Mertoyudan, Magelang, 56172, Indonesia
*munahar[at]unimma.ac.id
b) Center of Energy for Society and Industry (CESI), Universitas Muhammadiyah Magelang, Jl. Bambang Sugeng km.05 Mertoyudan Magelang, 56172, Indonesia
c) Cyber Security and Systems (CSS) Research Unit, Faculty of Science & Technology (FST), Universiti Sains Islam Malaysia (USIM), Nilai, Negeri Sembilan, Malaysia
Abstract
Alternative fuels are the best solution to move towards vehicle technology that produces cleaner emissions. Compressed Natural Gas (CNG) is a promising alternative fuel because it has more affordable energy prices and is more environmentally friendly. A control system is needed to increase savings to realize more efficient vehicle technology with CNG fuel. Seeing this condition, the research focused on developing a CNG control model system using the Transfer Function (TF) approach. The TF method is one way to predict the development of a CNG control system using mathematical equations. Proportional-integral-derivative (PID) as a model for achieving CNG AFR stoichiometry values on the target control system. CNG fuel savings are modeled using mathematical equations with external variables. The AFR CNG lean value (above stochiometry) describes the conditions for achieving fuel savings under certain conditions. This research has not combined ignition timing and environmental conditions. For this reason, modeling with this variable is important for future research