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JRM Vol.6 No.4 pp. 340-344
doi: 10.20965/jrm.1994.p0340
(1994)

Paper:

Modeling Fuel Injection Control Maps Using Fuzzy Logic and Neural Networks

Andreas Bastian

Laboratory for International Fuzzy Engineering Research (LIFE), Siber Hegner Bldg. 4F1., 89-1 Yamashita-cho, Naka-ku, Yokohama, 231 Japan

Received:
May 24, 1994
Accepted:
June 3, 1994
Published:
August 20, 1994
Keywords:
Modeling, Fuzzy logic, Neural networks
Abstract

Determining the correct ignition point of the air-fuel mixture is critical in order to achieve maximum output torque and to reduce exhaust emissions. In some fuel injection control systems the amount of air cannot be detected, thus, look-up tables are utilized, which contain the amount of air for given engine speed and inlet manifold pressure. In this paper, we model the look-up table using fuzzy logic. A neural network approach is used to identify the inputs of the fuzzy model.

Cite this article as:
A. Bastian, “Modeling Fuel Injection Control Maps Using Fuzzy Logic and Neural Networks,” J. Robot. Mechatron., Vol.6, No.4, pp. 340-344, 1994.
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