Bringing real-time hybrid-physical-virtual testing to industrial practice

By combining real-time simulation with experimental testing, a physical subsystem can be tested on a test bench being excited in real-time by the simulation of the rest of the full system. We call this real-time hybrid-physical-virtual (HPV) testing. This PhD aims at solving two major technical challenges of real-time hybrid-physical-virtual testing: (i) Achieving robust stability for the HPV coupled problem involving digital twins (simulation models) and physical twins (physical specimens) and (ii) mastering the trade-off between accuracy and required computational performance for each sub-system type (virtual or physical ones) of the coupled problem for reaching maximum test accuracy and bandwidth. The goal of this project is to bring real-time HPV testing methods into industrial practice by tailoring and incorporating them into industrial real-time solutions. This should result in an efficient, performant and scalable way of applying real-time HPV testing to industrial use-cases in sectors such as the automotive and aerospace ones.