Model Selection ensuring Practical Identi ability for Models of Electric Drives with Coupled Mechanics [article]

Mathias Tantau, Eduard Popp, Lars Perner, Mark Wielitzka, Tobias Ortmaier, University, My
2021
Physically motivated models of electric drive trains with coupled mechanics are ubiquitous in industry for control design, simulation, feed-forward, model-based fault diagnosis etc. Often, however, the e ort of model building prohibits these model-based methods. In this paper an automated model selection strategy is proposed for dynamic simulation models that not only optimizes the accuracy of the t but also ensures practical identi ability of model parameters during structural optimization.
more » ... ctical identi ability is crucial for physically motivated, interpretable models as opposed to pure prediction and inference applications. Our approach extends structural optimization considering practical identi ability to nonlinear models. In spite of the nonlinearity, local and linear criteria are evaluated, the integrity of which is investigated exemplarily. The methods are validated experimentally on a stacker crane.
doi:10.15488/10400 fatcat:4xvdnzncrrbfldmitywndkhgsu