The Study on the Virtual Prototype Modeling of MAGLEV Train

DOI

10.2991/aetr-17.2018.3How to use a DOI?

Keywords

Magnetic Levitation System; Fuzzy; PID; Nonlinearity; Dynamic Modeling

Abstract

In view of the strong nonlinearity for suspension system of maglev train and the weak robustness problems of traditional PID controller with external disturbance, firstly, a mathematical model of the magnetic levitation control system has been established. A virtual prototype model of the maglev train has also been established by ADAMS. A self-tuning fuzzy adaptive PID controller which is suitable for the maglev suspension system has been designed by utilizing fuzzy rules to adapt PID parameters on-line. Simulation experiments by virtual prototype verified the anti-interference and strong robustness of the system whose control performances are superior to the traditional PID controllers to overcome interference in practical engineering.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiyan Qiang
AU  - Shaoping Chen
AU  - Chuanzhen Li
AU  - Bojing Long
AU  - Kaiwei Zhang
PY  - 2018/03
DA  - 2018/03
TI  - The Study on the Virtual Prototype Modeling of MAGLEV Train
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 10
EP  - 14
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.3
DO  - 10.2991/aetr-17.2018.3
ID  - Qiang2018/03
ER  -