Backlash in automotive power-trains is a major source of driveability limitations. In order to increase the power-train controller performance, knowledge of the backlash properties (size and current position) is needed. A nonlinear estimator for the current angular position in the backlash is developed, based on extended Kalman filtering theory. A linear estimator for fast and accurate estimation of the angular position of a wheel and the engine is also described. It utilizes standard ABS (Anti Braking System) sensors and engine speed sensors, and is based on event based sampling, at each pulse from the sensors. The results show that the backlash position estimate is of high quality, and robust to modeling errors. The performance is increased further when the event based position estimators are used as pre-filters.


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    Title :

    Backlash gap position estimation in automotive powertrains


    Additional title:

    Positionsschätzung im Antriebsstrang von Kraftfahrzeugen


    Contributors:


    Publication date :

    2003


    Size :

    6 Seiten, 9 Bilder, 14 Quellen


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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