Energy minimization for catenary-free mass transit systems using Particle Swarm Optimization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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

Original languageEnglish (US)
Title of host publication2012 Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS 2012
DOIs
StatePublished - 2012
Event2012 Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS 2012 - Bologna, Italy
Duration: Oct 16 2012Oct 18 2012

Publication series

NameElectrical Systems for Aircraft, Railway and Ship Propulsion, ESARS
ISSN (Print)2165-9400
ISSN (Electronic)2165-9427

Other

Other2012 Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS 2012
CountryItaly
CityBologna
Period10/16/1210/18/12

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Mechanics of Materials

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  • Cite this

    Colak, K., Czarkowski, D., & De Leon, F. (2012). Energy minimization for catenary-free mass transit systems using Particle Swarm Optimization. In 2012 Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS 2012 [6387414] (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS). https://doi.org/10.1109/ESARS.2012.6387414