International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 5, No. 4, 8 Mar. 2013
Cover page and Table of Contents: PDF (size: 553KB)
Supervised Optimization of Fuel Ratio in IC Engine Based on Design Baseline Computed Fuel Methodology
Full Text (PDF, 553KB), PP.76-84
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Author(s)
Farzin Piltan
1,*
Saeed Zare
1
Fatemeh ShahryarZadeh
1
Mohammad Mansoorzadeh
1
Marzieh kamgari
1
Index Terms
IC engine, fuel ratio, port fuel injection, direct injection, baseline controller, computed fuel controller
Abstract
Internal combustion (IC) engines are optimized to meet exhaust emission requirements with the best fuel economy. Closed loop combustion control is a key technology that is used to optimize the engine combustion process to achieve this goal. In order to conduct research in the area of closed loop combustion control, a control oriented cycle-to-cycle engine model, containing engine combustion information for each individual engine cycle as a function of engine crank angle, is a necessity. In this research, the IC engine is modeled according to fuel ratio, which is represented by the mass of air. In this research, a multi-input-multi-output baseline computed fuel control scheme is used to simultaneously control the mass flow rate of both port fuel injection (PFI) and direct injection (DI) systems to regulate the fuel ratio of PFI to DI to desired levels. The control target is to maintain the fuel ratio at stoichiometry and the fuel ratio to a desired value between zero and one. The performance of the baseline computed fuel controller is compared with that of a baseline proportional, integral, and derivative (PID) controller.
Cite This Paper
Farzin Piltan, Saeed Zare, Fatemeh ShahryarZadeh, Mohammad Mansoorzadeh, Marzieh kamgari, "Supervised Optimization of Fuel Ratio in IC Engine Based on Design Baseline Computed Fuel Methodology", International Journal of Information Technology and Computer Science(IJITCS), vol.5, no.4, pp.76-84, 2013. DOI:10.5815/ijitcs.2013.04.09
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[29]Farzin Piltan, Atefe Gavahian, N. Sulaiman, M.H. Marhaban, R. Ramli, “Novel Sliding Mode Controller for robot manipulator using FPGA,” Journal of Advanced Science & Engineering Research, 1 (1): 1-22, 2011.
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