Open Access   Article Go Back

Robust PID controller Design using Particle Swarm Optimization for Magnetic Levitation System

S. Sivananaithaperumal1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 52-55, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.5255

Online published on Apr 30, 2019

Copyright © S. Sivananaithaperumal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: S. Sivananaithaperumal, “Robust PID controller Design using Particle Swarm Optimization for Magnetic Levitation System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.52-55, 2019.

MLA Style Citation: S. Sivananaithaperumal "Robust PID controller Design using Particle Swarm Optimization for Magnetic Levitation System." International Journal of Computer Sciences and Engineering 7.4 (2019): 52-55.

APA Style Citation: S. Sivananaithaperumal, (2019). Robust PID controller Design using Particle Swarm Optimization for Magnetic Levitation System. International Journal of Computer Sciences and Engineering, 7(4), 52-55.

BibTex Style Citation:
@article{Sivananaithaperumal_2019,
author = {S. Sivananaithaperumal},
title = {Robust PID controller Design using Particle Swarm Optimization for Magnetic Levitation System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {52-55},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3994},
doi = {https://doi.org/10.26438/ijcse/v7i4.5255}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.5255}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3994
TI - Robust PID controller Design using Particle Swarm Optimization for Magnetic Levitation System
T2 - International Journal of Computer Sciences and Engineering
AU - S. Sivananaithaperumal
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 52-55
IS - 4
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
380 382 downloads 168 downloads
  
  
           

Abstract

The PID controller is widely used in industries due to its simple design and stable operation. Though PID controller produces a controlled output for stable and unstable systems, the performance of the system under disturbance is poor. To make the PID controller robust under various environments, Particle Swarm Optimization (PSO) algorithm is used to design the controller. The simulation is carried out for a test system of magnetic levitation. The robust in terms of Integral Square Error (ISE) are poor The control of a magnetic levitation system using PSO based PID controller is proposed in this paper. To solve this problem PSO based tuning of PID controller is demonstrated. The results are compared with classical PID controller.

Key-Words / Index Term

PID controller, PSO, Magnetic Levitation system

References

[1]. K.H Ang, , G. Chang, Yun, Li. “PID control system Analysis, Design and Technology”, IEEE trans. on Contr. Syst. Tech., Vol. 13, No. 4, pp. 559-577, 2005.
[2]. S.Sivananaithaperumal, S. Miruna Joe Amali, S. Baskar, P.N.Suganthan, “Constrained self-adaptive differential evolution based design of robust optimal fixed structure controller”, Engineering Applications of Artificial Intelligence, Vol.24, No.6, pp.1084-1093, 2011.
[3]. S. Sivananaithaperumal, S.Baskar, “Design of multivariable fractional order PID controller using covariance matrix adaptation matrix evolution strategy”, Archives of control sciences vol 24(LX) pp 235-251, 2014.
[4]. K.J Astrom, T. Hagglund, “PID Controllers: Theory, design, and tuning”, Instrument society of America, 2nd Edition, 1995.
[5]. B.S. Chen, Y.M. Cheng, C.H. Lee, “A genetic approach to mixed H2/ H∞ optimal PID control”, IEEE Control system Magazine , Vol. 15,No.5, pp. 51 – 60,1995.
[6]. J. Kennedy, R.C.Eberhart, “ Particle Swarm Optimization” , IEEE International Conference on Neural Networks, Piscataway, NJ, Vol. 4,pp. 1942-1948, 1995.
[7]. G.Kaur, J.S. Saini, “Enhancement of Channel Assignment Based on BPSO Algorithm in Multi-Radio Multi-Channel Wireless Mesh Networks”, International Journal of Computer Sciences and Engineering, vol 6, Issue 9. pp 933-939, Sep 2018.
[8]. T.H.Kim, I.Maruta, T.Sugie, “Robust PID controller tuning based on the constrained particle swarm optimization”, Automatica, Vol.44, No.4, pp.1104 – 1110, 2008.