Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

Modelling Planar Electromagnetic Levitation System based on Phase Lead Compensation Control

Author 1: Mundher H. A. YASEEN
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 9 · Published 2017 · Cited by 6

DOI: https://doi.org/10.14569/IJACSA.2017.080906

Abstract

Electromagnetic Levitation System is commonly used in the field of train Maglev (magnetic levitation) system. Modelling Maglev system including all the magnetic force characteristics based on the current and position. This paper presents 2DOF model which represents a sample of uniform rigid plane body based on the functions of current and the air gap. The present work identifies the dynamic correlation of the levitation system of the Maglev using three sub-models. Lead controller is developed to achieve system stability by considering the system correlation of system moments and inductance variations. The control properties of the present model are obtained through SIMLAB microcontroller board to achieve the stable Maglev system.

Keywords

How to Cite this Article

YASEEN, M. H. A. (2017). Modelling Planar Electromagnetic Levitation System based on Phase Lead Compensation Control. International Journal of Advanced Computer Science and Applications, 8(9). https://doi.org/10.14569/IJACSA.2017.080906

YASEEN, Mundher H. A.. "Modelling Planar Electromagnetic Levitation System based on Phase Lead Compensation Control." International Journal of Advanced Computer Science and Applications, vol. 8, no. 9, 2017, https://doi.org/10.14569/IJACSA.2017.080906.

@article{YASEEN2017,
  title     = {Modelling Planar Electromagnetic Levitation System based on Phase Lead Compensation Control},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {9},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Mundher H. A. YASEEN},
  doi       = {10.14569/IJACSA.2017.080906},
  url       = {https://doi.org/10.14569/IJACSA.2017.080906}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.