Research and Simulation on Control Algorithm for Multi-objective Optimization of Urban Rail Train

Authors

Jianjun Meng, 1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; ;2. Mechatronics T & R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China; ;3. Engineering Technology Center for Informatization of Logistics & Transport Equipment, Lanzhou 730070, China;
Minggao Pei, 1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; ;
Wu Fu, 1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; ;
Tengzhou Wei, 1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; ;
Hao Shuai, 1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; ;

Abstract

Abstract: According to the characteristics of urban rail train running multiple objective, the multi-objective operation model for urban rail train was established with the energy consumption, punctuality, accurate parking and comfort level as the optimization indexes. Genetic algorithms was used to optimize running multi-objective model of urban rail train, and according to train traction calculation and computer simulation, the train running target curve was obtained. The fuzzy control and PID control algorithm were applied to urban rail train system to establish adaptive fuzzy PID controller and PID control in order to track the target curve. Simulation results show that adaptive fuzzy PID control compared with PID control, the former can better make the train follow the target carve operation, so as to ensure train safety, smooth, punctual operation, at the same time also to ensure the accuracy of a train stopping.

Recommended Citation

Meng, Jianjun; Pei, Minggao; Fu, Wu; Wei, Tengzhou; and Shuai, Hao (2020) "Research and Simulation on Control Algorithm for Multi-objective Optimization of Urban Rail Train," Journal of System Simulation: Vol. 29: Iss. 3, Article 16.
DOI: 10.16182/j.issn1004731x.joss.201703016
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss3/16

First Page

581

Revised Date

2015-08-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201703016

Last Page

588

CLC

U239.5

Recommended Citation

Meng Jianjun, Pei Minggao, Wu Fu, Wei Tengzhou, Hao Shuai. Research and Simulation on Control Algorithm for Multi-objective Optimization of Urban Rail Train[J]. Journal of System Simulation, 2017, 29(3): 581-588.

DOI

10.16182/j.issn1004731x.joss.201703016