Autonomous Vehicular Systems: Architectural Strategies for Adaptive Multi-Objective Configuration
Jun 24, 2024ยท
,,,ยท
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Julian Demicoli

Nicolai Palm
Herbert Palm
Oliver Kleikemper
Sebastian Steinhorst
Abstract
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.
Type
Publication
2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)