Title :
Regenerative train control networks for gas turbine powered high-speed rail locomotive with flywheel energy storage
Author :
Wall, Richard W. ; Johnson, Brian K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Idaho Univ., Moscow, ID, USA
Abstract :
High-speed rail locomotives with on-board energy storage system need unconventional energy management systems for optimal efficiency. The distributed environment of controls and instrumentation is well suited to network communications even in this EMI rich environment. A network architecture description is presented along with benchmark analysis, and prototypes of a control system capable of meeting expectations for reliability, functionality and cost.
Keywords :
controller area networks; energy management systems; flywheels; gas turbines; locomotives; synchronous generators; transport control; CAN; EMI rich environment; benchmark analysis; control system; distributed environment; energy management systems; flywheel energy storage; gas turbine powered high-speed rail locomotive; instrumentation; network architecture description; network communications; networked control; on-board energy storage; optimal efficiency; regenerative train control networks; reliability; synchronous generator; train control; Communication system control; Distributed control; Electromagnetic interference; Energy management; Energy storage; Flywheels; Instruments; Prototypes; Rails; Turbines;
Conference_Titel :
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN :
0-7803-7474-6
DOI :
10.1109/IECON.2002.1185306
