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Reseach Article

Fractional Order PID Controller Design for Speed Control DC Motor based on Artificial Bee Colony Optimization

by Ibrahim K. Mohammed, Abdulla I. Abdulla
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 24
Year of Publication: 2018
Authors: Ibrahim K. Mohammed, Abdulla I. Abdulla
10.5120/ijca2018916525

Ibrahim K. Mohammed, Abdulla I. Abdulla . Fractional Order PID Controller Design for Speed Control DC Motor based on Artificial Bee Colony Optimization. International Journal of Computer Applications. 179, 24 ( Mar 2018), 43-49. DOI=10.5120/ijca2018916525

@article{ 10.5120/ijca2018916525,
author = { Ibrahim K. Mohammed, Abdulla I. Abdulla },
title = { Fractional Order PID Controller Design for Speed Control DC Motor based on Artificial Bee Colony Optimization },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 179 },
number = { 24 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 43-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number24/29084-2018916525/ },
doi = { 10.5120/ijca2018916525 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:56:24.451426+05:30
%A Ibrahim K. Mohammed
%A Abdulla I. Abdulla
%T Fractional Order PID Controller Design for Speed Control DC Motor based on Artificial Bee Colony Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 24
%P 43-49
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A proportional–integral–derivative (PID) controller is very popular in applications that require an easy and comprehensive control. In this project, the application of soft-computing algorithm design based on Artificial Bee Colony (ABC) optimization technique is integrated with Fractional order PID controller (FOPID) . It is an advancement of conventional PID controller in which the derivative and integral order are fractional rather than integer. Apart from the usual tuning parameters of PID, it has two more parameters λ (integer order) and μ (derivative order) which are infractions. This increases the flexibility and robustness of the system and gives a better performance .The aim of this work is to design a speed controller of a DC motor by selection of proper FOPID parameters using bio-inspired optimization technique of Artificial Bee Colony Optimization (ABC). The application of ABC to the FOPID controller imparts it the ability of tuning itself automatically in an on-line process while the application of optimization algorithm to the PID controller makes it to give an optimum output by searching for the best set of solutions for the PID parameters.

References
  1. Dhubey, G. K., 2009. Fundamentals of Electrical Drives. New Delhi, Narosa Publishing Home.
  2. Subrahmanyam, V, 2011. Electric Drives: Concepts and Applications, New Delhi, Tata McGraw Hill.
  3. A. Rajasekhar, Sh. Das, and A. Abraham, 2013, “Speed Control of Dc Motor Using Particle Swarm Optimization”. In Proceeding of IEEE World Congress on Nature and Biologically Inspired Computing (NaBIC), 259-266.
  4. Ahmad, A., Saad, Z., Osman, M., Isa I., Sadimin, S. and Abdullah, S., 2010. “Control of magnetic levitation system using fuzzy logic control,” In Proceedings of the IEEE Second International Conference on Computational Intelligence, 51–56.
  5. Mohammed, I. K., Sharif, B. S. and J. A. Neasham, 2012. ”Design and Implementation of a Magnetic Levitation Control System for Robotically Actuated Capsule Endoscopes, In Proceedings. of the IEEE ROSE2012 Conference, Germany, 909-912.
  6. Mishra, A. K. and Narain, A. “Speed Control of DC Motor Using Particle Swarm Optimization”, International Journal of Engineering Research and Technology 1(2012), (13)2, 23-34.
  7. Das S., Functional Fractional Calculus, Springer, 2011.
  8. Podlubny, I. “Fractional-order systems and PIλDμ Controllers, IEEE Trans. Autom. Control, 44(1), 1999, 208-214.
  9. Ercin, O. and Coban, R., 2011. “Comparison of the Artificial Bee Colony and the Bees Algorithm for PID Controller Tuning”, In Proceedings of the IEEE Conference on Innovations in Intelligent Systems and Applications (INISTA). 595-598.
  10. Mickky, A., and Tiwari, B. “Analysis of Speed Control of Separately Excited DC Motor Using FOPID with LQR”, International Journal of Innovative Research in Electrical Electronics Instrumentation and Control Engineering, 2015, 3(3), 47-50.
  11. Kumar, P., Chatterjee, Sh., Shah, D., Shah, U. and Chatterjee, S. “On Comparison of Tuning Method of FOPID Controller for Controlling Field Controlled DC Servo Motor”, Journal of Cogent Engineering 2017, 4(1), 1-20.
  12. Tabari, M. and Kamyad, A. “ Design Optimal Fractional PID Controller for DC Motor with Genetic Algorithm”, International Journal of Scientific and Engineering Research. 2012, 3(12), 1-4.
  13. Rinku, S., Subhransu, P. and Gagandeep, K. Kamyad, “ Design of Fractional Order PID Controller for Speed Control of DC Motor”, International Journal of Scientific and Research Publications, 2012, 2(6), 51-60.
Index Terms

Computer Science
Information Sciences

Keywords

Fractional Order PID Controller (FOPID) Artificial Bee Colony Optimization Tuning Algorithm.