Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor
American Journal of Engineering and Technology Management
Volume 1, Issue 4, December 2016, Pages: 59-64
Received: Aug. 29, 2016; Accepted: Sep. 26, 2016; Published: Nov. 7, 2016
Views 5304      Downloads 220
Santosh Kumar Suman, Departement of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India
Vinod Kumar Giri, Departement of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India
Article Tools
Follow on us
Plan of this paper a investigation and implementation of controllers such as PID controller and G.A based PID for speed control of DC motor. Simulation results have established that the use of PID and GA-PID. A DC motor is significant for a good dynamic, reliable behavior of the DC motor, a great speed tracking with lowest overshoot, gives enhanced performance and high strength than those obtained by use of the other controller. The DC motor is broadly used in many applications like steel mills, electric trains, cranes and much more. In this dissertation a separately excited dc motor using MATLAB modeling has been outlined whose velocity might be examined utilizing the Proportional, Integral, Derivative (KP, KI, KD) addition of the PID controller. In this paper is to analyze the execution of Optimization techniques viz. The Genetic Algorithm (GA) for improve PID controllers parameters for speed control of DC motor and list their points of interest over the traditional tuning strategies. The output speed error and its derivative as feedback damping signals. In this we have create three objective function with help of the MATLAB coding m-file, but third objective function is a novel creation for system which gives the better result than conventional objective function.aim of this paper compared all conventional method to proposed genetic algorithm tuning techniques and finds optimum results such as peak time, overshoot and transient response.
DC motor, PID Controller, Genetic Algorithm (GA), IAE, MSE
To cite this article
Santosh Kumar Suman, Vinod Kumar Giri, Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor, American Journal of Engineering and Technology Management. Vol. 1, No. 4, 2016, pp. 59-64. doi: 10.11648/j.ajetm.20160104.12
Copyright © 2016 Authors retain the copyright of this article.
This article 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.
Yodyium tipsuwan, Mo-Yuen Chow “Fuzzy Logic Microcontroller Implementation for DC Motor Speed Control”, IEEE Trans. syst. pp. 1271-1276, 1999.
Singari Pavan Kumar, Sande Krishna Veni, Y.B. Venugopal, and Y. S. Kishore Babu, A Neuro-Fuzzy based Speed Control of Separately Excited DC Motor, IEEE Transactions on Computational Intelligence and Communication Networks, pp. 93-98, 2010.
Boumedience Allaoua, Abdellah Laoufi, Brahim Gasbaoui, Abdelfatah Nasri and Abdessalam Abderrahmani, “Intelligent Controller Design for DC motor Speed control Based on Fuzzy Logic-Genetic Algorithms Optimization”, Leonardo Journal of Science, vol. no. 13, pp. 90-102, July-December 2008.
Santosh Kumar Suman, Vinod Kumar Giri, “Genetic Algorithms: Basic Concepts and Real World Applications”, International Journal of Electrical, Electronics and Computer Systems (IJEECS), Vol -3, Issue-12, 2015.
Ahemd EI-Bakly, A. Fouda, W. Sabry, “A Proposed DC Motor Sliding Mode Position Controller Design using Fuzzy Logic and PID Techniques” 13th International Conference on Aerospace Science & Avitation Technology, vol. no. 13, May 26-28, 2009.
JinKun Liu, Advanced PID control and Matlab simulation (second edition), Publishing house of electronics industry, Sept.2004.
B. Portens and A. H. Jones, “Genetic tuning of digital PID control, ”Electronics Letters, vol. 28, no. 9, pp.834-844, 1992.
“PID Control,” in The Control Handbook, W. S. Levine, Ed. Piscataway, NJ: IEEE Press, 1996, pp. 198–209.
Katsuhiko Ogata, “Modern Control Engineering” 4th edition Prentice Hall, (2002).
Santosh Kumar Suman and Vinod Kumar Giri, “Implementation of optimization and intelligent techniques for Speed Control of DC Motor -A Review”, Karpagam Journal of Engineering Research (KJER), Vol- 5, Issue 1, pp-14-21,2016.
Sheroz Khan, Salami Femi Abdulazeez, Lawal Wahab Adetunji, AHM Zahirul Alam, Momoh Jimoh E. Salami, Shihab Ahmed Hameed, Aisha Hasan Abdalla and Mohd Rafiqul Islam, “Design and Implementation of an Optimal Fuzzy Logic Controller Using Genetic Algorithmic”, Journal of Computer Science Malaysia, pp. 799-806, 2008.
Santosh Kumar Suman, Vinod Kumar Giri, “Investigation & implementation of speed control of DC Motor”, JEE - Journal of Electrical Engineering,Vol-16,Issue-2,pp.315-322,2016.
Franz Rothlauf, “Representations for Genetic and Evolutionary Algorithms”, Springer-Verlag Berlin Heidelberg, 2006.
Jin-Sung Kim, Jin-Hwan Kim, Ji-Mo Park, Sung-Man Park, Won- Yong Choe, Hoon Heo, Auto Tuning PID Controller based on Improved Genetic Algorithm for Reverse Osmosis Plant, World Academy of Science, Engineering and Technology, No. 23, 2008.
Y. K. Soni, R. Bhatt, BF-PSO optimized PID Controller design using ISE, IAE, IATE and MSE error criteria, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET),Vol. 2, Issue 7, July 2013.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186