Lane-keeping control forms an integral part of fully automated intelligent vehicle highway systems (IVHS) and its reliable operation is critical to the operation of an automated highway. In this paper, we present the design of a fault detection filter for the lane-keeping control systems onboard vehicles used by California-PATH, USA in its automated highways program. We use a Luenberger structure for the fault detection filters and tune the observer gains based on an Hinfinity -based cost. Such a choice of cost was motivated by the need to explicitly incorporate frequency-domain-based performance objectives. The linear matrix inequality (LMI)-based formulation of an Hinfinity optimization problem of Luenberger state observers does not allow for the augmentation with dynamic performance weightings in the optimization objective, since it makes the problem a nonconvex optimization problem. We present an algorithm to locally solve the problem of the design of Luenberger state observers using Hinfinity optimization by transforming the problem into an Hinfinity static output feedback controller problem. Experimental results demonstrate the efficacy of the tuning methodology by comparing the fault detection performance of filters that use Hinfinity Luenberger observers versus those that use Kalman filters. Implementation issues of the observers are also discussed.


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    Title :

    Design of Luenberger state observers using fixed-structure Hinfinity optimization and its application to fault detection in lane-keeping control of automated vehicles


    Contributors:

    Published in:

    Publication date :

    2005


    Size :

    9 Seiten, 24 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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