Vehicular control systems are required to be both extremely reliable and robust to different environmental conditions, e.g. load or tyre–road friction. In this paper, we extend a new paradigm for state estimation, called Twin-in-the-Loop filtering (TiL-F), to the estimation of the unknown parameters describing the vehicle operating conditions. In such an approach, a digital-twin of the vehicle (usually already available to the car manufacturer) is employed on-board as a plant replica within a closed-loop scheme, and the observer gains are tuned purely from experimental data. The proposed approach is validated against experimental data, showing to significantly outperform the state-of-the-art solutions.
Joint vehicle state and parameters estimation via twin-in-the-loop observers
VEHICLE SYSTEM DYNAMICS
F. DETTù ET AL.
Vehicle System Dynamics ; 62 , 9 ; 2423-2449
01.09.2024
27 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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