Title: Optimization control for combustion parameters of petrol engines using neural networks - in the case of on-line control

Authors: S. Morita

Addresses: Osaka City University, 3-13-138 Sugimato 3-chome, Sumiyoshi-ku, Osaka 558, Japan

Abstract: The present control method for combustion parameters such as spark ignition timing etc., of a car petrol engine is feedforward control, which is called the |table looking-up| method. It is interesting to replace the conventional table looking-up method with the neural networks method, which is a new technique for explaining such nonlinear characteristics as Combustion parameters, and to investigate its advantages and disadvantages. Reported here is control of combustion parameters by neural networks, and especially the learning characteristics of the networks when the control is adopted as on-line control, i.e. adaptive control. As a result, it was found that neural networks are more suitable for on-line control for car use than the table looking-up method.

Keywords: adaptive control; combustion parameters; learning; neural networks; optimisation; spark ignition timing; petrol engines; learning; vehicle control; online control; vehicle design.

DOI: 10.1504/IJVD.1993.061854

International Journal of Vehicle Design, 1993 Vol.14 No.5/6, pp.552 - 562

Available online: 28 May 2014 *

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