Fuzzy control is suitable for automotive control, because fuzzy control achieves controllability as good as control by humans. However, since automotive control requires millisecond response and learning control, and the fuzzy system in automobiles requires fewer components (built-in type), a custom fuzzy inference LSI is needed for automotive control. The authors indicate requirements of a fuzzy inference LSI suitable for automotive control and fabricated a fuzzy inference LSI using 1.5 mu m CMOS process technique. This fuzzy LSI is designed for various automotive control experiments such as engine control, cruise control, brake control and steering control. The number of input variables is six, the number of output variables is two, the maximum number of production rules is 256, and the inference time is 63 microseconds (under the condition of six inputs, two outputs and 256 rules). The features of the fuzzy LSI are high speed inference, a built-in type, learning control ability and a memory structure separating into a rule memory and a membership function memory. A fuzzy control system is implemented only by the addition of two devices: the fuzzy LSI and an EPROM. The fuzzy LSI was applied to a rough road durability test aiming at the automatic driving equivalent to the human driver operation. The chip can be built in a microprocessor as a fuzzy inference co-processor without any other circuits.


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    Titel :

    A fuzzy inference LSI for an automotive control


    Weitere Titelangaben:

    Ein Fuzzy-Logik-LSI für ein Kraftfahrzeugregelungssystem


    Beteiligte:
    Harata, Y. (Autor:in) / Ohta, N. (Autor:in) / Hayakawa, K. (Autor:in) / Shigematsu, T. (Autor:in) / Kita, Y. (Autor:in)

    Erschienen in:

    IEICE Transactions on Electronics ; E76-C , 12 ; 1780-1787


    Erscheinungsdatum :

    1993


    Format / Umfang :

    8 Seiten, 20 Quellen



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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