Towards Data-Driven Real-Time Hybrid Simulation: Adaptive Modeling of Control Plants
- Journal Article
Rights / licenseCreative Commons Attribution 4.0 International
We present a method for control in real-time hybrid simulation (RTHS) that relies exclusively on data processing. Our approach bypasses conventional control techniques, which presume availability of a mathematical model for the description of the control plant (e.g., the transfer system and the experimental substructure) and applies a simple plug 'n play framework for tuning of an adaptive inverse controller for use in a feedforward manner, avoiding thus any feedback loops. Our methodology involves (i) a forward adaptation part, in which a noise-free estimate of the control plant's dynamics is derived; (ii) an inverse adaptation part that performs estimation of the inverse controller; and (iii) the integration of a standard polynomial extrapolation algorithm for the compensation of the delay. One particular advantage of the method is that it requires tuning of a limited set of hyper-parameters (essentially three) for proper adaptation. The efficacy of our framework is assessed via implementation on a virtual RTHS (vRTHS) benchmark problem that was recently made available to the community. The attained results indicate that data-driven RTHS may form a competitive alternative to conventional control. Show more
Journal / seriesFrontiers in Built Environment
Pages / Article No.
Subjectreal-time hybrid simulation; simulation; adaptive signal processing; adaptive inverse control; feedforward; decorrelated LMS; DCT-LMS
Organisational unit02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.
03890 - Chatzi, Eleni / Chatzi, Eleni
764547 - Dynamic virtualisation: modelling performance of engineering structures (EC)
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