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Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor

by M. B. Anandaraju, Dr. P.S. Puttaswamy, Jaswant Singh Rajpurohit
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 1
Year of Publication: 2011
Authors: M. B. Anandaraju, Dr. P.S. Puttaswamy, Jaswant Singh Rajpurohit
10.5120/3066-4191

M. B. Anandaraju, Dr. P.S. Puttaswamy, Jaswant Singh Rajpurohit . Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor. International Journal of Computer Applications. 26, 1 ( July 2011), 37-43. DOI=10.5120/3066-4191

@article{ 10.5120/3066-4191,
author = { M. B. Anandaraju, Dr. P.S. Puttaswamy, Jaswant Singh Rajpurohit },
title = { Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 1 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number1/3066-4191/ },
doi = { 10.5120/3066-4191 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:42.902929+05:30
%A M. B. Anandaraju
%A Dr. P.S. Puttaswamy
%A Jaswant Singh Rajpurohit
%T Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 1
%P 37-43
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

DC motor is a vital component in most of the process control industries. PID controllers are extensively used in DC motors for speed as well as position control. Tuning of PID controller parameters is an iterative process and needs complete optimization to achieve the desired performance. Genetic algorithm (GA) which is a well established tool for optimization has been used to extract PID controller parameters for the velocity control of the DC motor. Different error models are used for evaluating the fitness function. Velocity control is demonstrated using MATLAB/SIMULINK modeling.

References
  1. Boldea and S.A. Nasar. Linear electric actuators and generators. Cambridge university press,1997
  2. E. Cerruto, A. Consoli, A. Raciti, and A. Testa. A robust adaptive controller for PM motor drives in robotic applications. Power Electronics, IEEE Transactions on, 10(1):62–71, 1995.
  3. N. Hemati, J.S. Thorp, and M.C. Leu. Robust nonlinear control of brushless DC motors for direct drive robotic applications. Industrial Electronics, IEEE Transactions on, 37(6):460–468, 1990.
  4. PM Pelczewski and U.H. Kunz. The optimal control of a constrained drive system with brushless dc motor. Industrial Electronics, IEEE Transactions on, 37(5):342–348, 1990.
  5. D.E. Goldberg. Genetic algorithms in search, optimization, and machine learning. Addison-wesley,1989.
  6. K. Kristinsson and G.A. Dumont. System identification and control using genetic algorithms. Systems, Man and Cybernetics, IEEE Transactions on, 22(5):1033–1046, 1992.
  7. C. Vlachos, D. Williams, and JB Gomm. Genetic approach to decentralised PI controller tuning for multivariable processes. In Control Theory and Applications, IEEE Proceedings-, volume 146, pages 58–64. IET, 1999.
  8. Z. Michalewicz, C.Z. Janikow, and J.B. Krawczyk. A modified genetic algorithm for optimal control problems. Computers & Mathematics with Applications,23(12):83– 94, 1992
  9. BL Thereja. A Text Book of Electrical Technology, Volume II. S Chand & Co, New Delhi, 1992
  10. P. Pillay and R. Krishnan. Modeling, simulation, and analysis of permanent-magnet motor drives. II. The brushless DC motor drive. Industry Applications, IEEE Transactions on, 25(2):274–279, 1989
  11. D.G. Holmes, T.A. Lipo, and TA Lipo. Pulse width modulation for power converters: principles and practice. Wiley-IEEE Press, 2003.
  12. L. Chambers. Practical handbook of genetic algorithms: complex coding systems. CRC, 1999.
  13. K.J. Astrom and T Hagglund. PID Controllers. Theory, Design and Tuning. Instrument Society of America – 1994.
Index Terms

Computer Science
Information Sciences

Keywords

Component DC motor PID Genetic Algorithm Fitness Function

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