It is well known that the optimum ignition timing, which gives the maximum brake torque (MBT) for a given engine design, varies with the rate of flame development and propagation in the cylinder. This depends, among other factors, on engine design and operating conditions, and on the properties of the air-fuel mixture. In modern engines the ignition timing is generally controlled by fixed open-loop schedules as functions of engine speed, load and coolant temperature. It is desairable that this ignition timing can be adjusted to the optimum level producing the best torque to obtain minimum fuel consumption and maximum available power. This paper presents an ignition timing control system based on fuzzy logic theory. A pressure sensor system ws developed for the determination of combustion parameters and ignition control on a Ford 1600cm3 four-cylinder engine fuelled with natural gas. Several tests were carried out in optimizing the pressure detection system. The results obtained provide important information compatible with intelligent control of the engine using fuzzy logic technology. Moreover, tests carried out to date using this technology show good results that fit quite well with the original engine output torque characteristics.


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    Title :

    Fuzzy ignition timing control for a spark ignition engine


    Contributors:
    Wang, W (author) / Chirwa, E. C. (author) / Zhou, E (author) / Holmes, K (author) / Nwagboso, C (author)


    Publication date :

    2000-03-01


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Fuzzy ignition timing control for a spark ignition engine

    Wang,W. / Chirwa,E.C. / Zhou,E. et al. | Automotive engineering | 2000




    Fuzzy neural ignition timing control for a natural gas fuelled spark ignition engine

    Wang, W / Chirwa, E. C. / Zhou, E et al. | SAGE Publications | 2001


    Fuzzy neural ignition timing control for a natural gas fuelled spark ignition engine

    Wang,W. / Chirwa,E.C. / Zhou,E. et al. | Automotive engineering | 2001