The FUZZY CONTROL STRATEGY OF URBAN RAIL ENERGY BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM

Authors

  • xiaokan wang Henan Mechanical and Electrical Vocational College
  • Shuang Liang
  • Qiong WANG
  • Chao Chen

DOI:

https://doi.org/10.52292/j.laar.2021.536

Keywords:

energy management, fuzzy control, particle swarm optimization, Urban Rail Transit

Abstract

The city rail train starts and brakes frequently in the process of operation, and the existing braking technology can not make full use of this part of energy. In this study, a lithium battery super capacitor composite energy storage system is proposed, which uses the fuzzy control of particle swarm optimization algorithm for energy optimization management. The fuzzy energy controller is established to optimize the system parameters by using particle swarm optimization (PSO) algorithm. Simulation results show that the strategy can not only optimize the energy management of urban rail trains, but also improve the stability, reliability and economic performance of train operation and reduce fuel consumption.

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Published

2021-03-20

Issue

Vol. 51 No. 2 (2021): Latin American Applied Research

Section

Control and Information Processing

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