2007 · 10 citations · 11 references
In this paper a new-anti-slip control is proposed for the traction system of an automatic subway. Energetic macroscopic representation was used to proposed a graphical and physical description of the whole traction system. An inversion based control is deduced from this graphical description. This control scheme highlights different possibilities of control. A new anti-slip strategy is then deduced from the inversion-based control. Before an implementation on an actual vehicle, the new control is validated on a reduced power experimental set-up. A hardware-in-the-loop simulation is thus used to asses performance of this control in the same conditions as in the actual vehicle. Experimental results are provided.
11
Causality and model abstraction
Yumi Iwasaki, Herbert A. Simon · Artificial Intelligence · 1994 · 225 citations
Cognitive Science, Automated Reasoning, Model Abstraction +5