This study proposes a map-based control method to improve a vehicle's lateral stability, and the performance of the proposed method is compared with that of the conventional model-referenced control method. Model-referenced control uses the sliding mode method to determine the compensated yaw moment; in contrast, the proposed map-based control uses the compensated yaw moment map acquired by vehicle stability analysis. The vehicle stability region is calculated by a topological method based on the trajectory reversal method. A 2-DOF vehicle model and Pacejka's tire model are used to evaluate the proposed map-based control method. The performances of model-referenced control and map-based control are compared under various road conditions and driving inputs. Model-referenced control uses a control input to satisfy the linear reference model, and it generates unnecessary tire lateral forces that may lead to worse performance than an uncontrolled vehicle with step steering input on a road with low friction coefficient. The simulation results show that map-based control provides better stability than does model-referenced control.


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    Title :

    Comparison of Model-Referenced and Map-Based Control Method for Vehicle Stability Enhancement


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Asia Pacific Automotive Engineering Conference ; 2013



    Publication date :

    2013-03-25




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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