A new antiskid strategy which maximizes the torque in adherence conditions during the braking phase and the braking time for railroad vehicles is proposed. This control strategy is based on the knowledge of different kinematic parameters of the whole system in real time and could be effectively implemented with the availability of a very fast microprocessor.
A STOCHASTIC OPTIMAL REGULATOR FOR AN ANTI-SKID BRAKING MICROPROCESSOR SYSTEM / Fusco, G.; Meo, Santolo; Scarano, Maurizio. - STAMPA. - 2:(1996), pp. 109-118. (Intervento presentato al convegno Fifth International Conference on COMPuter Aided Design, Manifacture and Operation in the RAILway and other Mass Transit Sytem (COMPRAIL '96) tenutosi a Berlin nel 21-23 Aug. 1996).
A STOCHASTIC OPTIMAL REGULATOR FOR AN ANTI-SKID BRAKING MICROPROCESSOR SYSTEM
MEO, SANTOLO;SCARANO, MAURIZIO
1996
Abstract
A new antiskid strategy which maximizes the torque in adherence conditions during the braking phase and the braking time for railroad vehicles is proposed. This control strategy is based on the knowledge of different kinematic parameters of the whole system in real time and could be effectively implemented with the availability of a very fast microprocessor.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
