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Neural network control of air-to-fuel ratio in a bi-fuel engine

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4 Author(s)
Gnanam, G. ; Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, Sask. ; Habibi, S.R. ; Burton, R.T. ; Sulatisky, M.T.

In this paper, a neural network-based control system is proposed for fine control of the intake air/fuel ratio in a bi-fuel engine. This control system is an add-on module for an existing vehicle manufacturer's electronic control units (ECUs). Typically the ECU is calibrated for gasoline and provides a good control of the intake air/fuel ratio with gasoline. The neural network-based control system is developed to allow the conversion of a gasoline ECU to a bi-fuel form with compressed natural gas at minimal cost. The effectiveness of the neural control system is demonstrated by using a simulation of a Dodge four-stroke bi-fuel engine

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Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on  (Volume:36 ,  Issue: 5 )