TY - GEN
T1 - Energy minimization for catenary-free mass transit systems using Particle Swarm Optimization
AU - Colak, Kerim
AU - Czarkowski, Dariusz
AU - De Leon, Francisco
PY - 2012
Y1 - 2012
N2 - In this paper, a train model and algorithm of energy minimization control using Particle Swarm Optimization (PSO) are introduced for a catenary-free mass transit system. The train model is created in MATLAB/Simulink. Since the performance of the train heavily depends on the supercapacitor (SC) voltage. Tractive effort reduction is considered under low SC voltage in the simulations. Impact of coasting point on the running time is investigated and simulation results are used to find optimum coasting point under several constraints, such as running time, charging time, maximum charging current, SC voltage and distance between stations
AB - In this paper, a train model and algorithm of energy minimization control using Particle Swarm Optimization (PSO) are introduced for a catenary-free mass transit system. The train model is created in MATLAB/Simulink. Since the performance of the train heavily depends on the supercapacitor (SC) voltage. Tractive effort reduction is considered under low SC voltage in the simulations. Impact of coasting point on the running time is investigated and simulation results are used to find optimum coasting point under several constraints, such as running time, charging time, maximum charging current, SC voltage and distance between stations
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U2 - 10.1109/ESARS.2012.6387414
DO - 10.1109/ESARS.2012.6387414
M3 - Conference contribution
AN - SCOPUS:84873427674
SN - 9781467313704
T3 - Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS
BT - 2012 Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS 2012
T2 - 2012 Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS 2012
Y2 - 16 October 2012 through 18 October 2012
ER -