The dynamic reconfiguration of vehicular control and management systems to adapt to different scenarios, particularly those with conflicting design goals, remains a challenging task. In this context, we propose a reference architecture and a generic process to integrate advanced gain scheduling with a feedback loop that continually updates configuration lookup tables to generate scenario-related configurations at runtime. For demonstration purposes, our approach is applied to a Hyperloop vehicle's magnetic suspension system to guarantee simultaneously optimized accuracy of control, energy consumption and passenger comfort for a multitude of scenarios. Additionally, the feedback mechanism increases resilience against mechanical failures, marking an advancement in vehicular system adaptability and reliability.


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    Title :

    Autonomous Vehicular Systems: Architectural Strategies for Adaptive Multi-Objective Configuration


    Contributors:


    Publication date :

    2024-06-24


    Size :

    527799 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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