The absolute longitudinal speed of a vehicle is estimated by using data from an accelerometer of the vehicle and wheel speed sensors of a standard 50-tooth antilock braking system. An intuitive solution to this problem is, 'when wheel slip is low, calculate the vehicle velocity from the wheel speeds; when wheel slip is high, calculate the vehicle speed by integrating signal of the accelerometer'. The speed estimator weighted with fuzzy logic is introduced to implement the above concept, which is formulated as an estimation method. And the method is improved through experiments by how to calculate speed from acceleration signal and slip ratios. It is verified experimentally to usefulness of estimation speed of a vehicle. And the experimental result shows that the estimated vehicle longitudinal speed has only a 6 % worst-case error during a hard braking maneuver lasting a few seconds. The fuzzy logic was applied to estimate the vehicle speed using an accelerometer and wheel speed sensors. In order to reduce offset noise in acceleration signal and slip effect in wheel speeds, four methods of speed estimation had been proposed by intuition. This algorithm had been verified experimentally. And the step integration with modified velocities provided good estimation of vehicle speed, less than 6 % worst-case error of estimated speed during a hard braking maneuver lasting a few seconds. It is expected, in practical application, that the vehicle speed can be more accurately using four wheel sensors instead of only front wheels.


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    Titel :

    Fuzzy estimation of vehicle speed


    Weitere Titelangaben:

    Fuzzy-Schätzung der Fahrzeuggeschwindigkeit


    Beteiligte:
    Oh, Kyeung Heub (Autor:in) / Hwang, Jin Kwon (Autor:in) / Song, Chul Ki (Autor:in)


    Erscheinungsdatum :

    2005


    Format / Umfang :

    6 Seiten, 13 Bilder, 11 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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