Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor

Santosh Kumar Suman; Vinod Kumar Giri

doi:doi:10.11648/j.ajetm.20160104.12

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Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor

Santosh Kumar Suman, Vinod Kumar Giri

Published in American Journal of Engineering and Technology Management (Volume 1, Issue 4)

Received: 29 August 2016 Accepted: 26 September 2016 Published: 7 November 2016

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Abstract

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.

Published in	American Journal of Engineering and Technology Management (Volume 1, Issue 4)
DOI	10.11648/j.ajetm.20160104.12
Page(s)	59-64
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

DC motor, PID Controller, Genetic Algorithm (GA), IAE, MSE

References

[1]	Yodyium tipsuwan, Mo-Yuen Chow “Fuzzy Logic Microcontroller Implementation for DC Motor Speed Control”, IEEE Trans. syst. pp. 1271-1276, 1999.
[2]	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.
[3]	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.
[4]	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.
[5]	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.
[6]	JinKun Liu, Advanced PID control and Matlab simulation (second edition), Publishing house of electronics industry, Sept.2004.
[7]	B. Portens and A. H. Jones, “Genetic tuning of digital PID control, ”Electronics Letters, vol. 28, no. 9, pp.834-844, 1992.
[8]	“PID Control,” in The Control Handbook, W. S. Levine, Ed. Piscataway, NJ: IEEE Press, 1996, pp. 198–209.
[9]	Katsuhiko Ogata, “Modern Control Engineering” 4th edition Prentice Hall, (2002).
[10]	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.
[11]	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.
[12]	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.
[13]	Franz Rothlauf, “Representations for Genetic and Evolutionary Algorithms”, Springer-Verlag Berlin Heidelberg, 2006.
[14]	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.
[15]	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.

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APA Style

Santosh Kumar Suman, Vinod Kumar Giri. (2016). Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor. American Journal of Engineering and Technology Management, 1(4), 59-64. https://doi.org/10.11648/j.ajetm.20160104.12

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ACS Style

Santosh Kumar Suman; Vinod Kumar Giri. Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor. Am. J. Eng. Technol. Manag. 2016, 1(4), 59-64. doi: 10.11648/j.ajetm.20160104.12

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AMA Style

Santosh Kumar Suman, Vinod Kumar Giri. Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor. Am J Eng Technol Manag. 2016;1(4):59-64. doi: 10.11648/j.ajetm.20160104.12

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@article{10.11648/j.ajetm.20160104.12,
  author = {Santosh Kumar Suman and Vinod Kumar Giri},
  title = {Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor},
  journal = {American Journal of Engineering and Technology Management},
  volume = {1},
  number = {4},
  pages = {59-64},
  doi = {10.11648/j.ajetm.20160104.12},
  url = {https://doi.org/10.11648/j.ajetm.20160104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajetm.20160104.12},
  abstract = {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.},
 year = {2016}
}

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TY  - JOUR
T1  - Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor
AU  - Santosh Kumar Suman
AU  - Vinod Kumar Giri
Y1  - 2016/11/07
PY  - 2016
N1  - https://doi.org/10.11648/j.ajetm.20160104.12
DO  - 10.11648/j.ajetm.20160104.12
T2  - American Journal of Engineering and Technology Management
JF  - American Journal of Engineering and Technology Management
JO  - American Journal of Engineering and Technology Management
SP  - 59
EP  - 64
PB  - Science Publishing Group
SN  - 2575-1441
UR  - https://doi.org/10.11648/j.ajetm.20160104.12
AB  - 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.
VL  - 1
IS  - 4
ER  -

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Author Information

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

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APA Style

Santosh Kumar Suman, Vinod Kumar Giri. (2016). Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor. American Journal of Engineering and Technology Management, 1(4), 59-64. https://doi.org/10.11648/j.ajetm.20160104.12

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ACS Style

Santosh Kumar Suman; Vinod Kumar Giri. Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor. Am. J. Eng. Technol. Manag. 2016, 1(4), 59-64. doi: 10.11648/j.ajetm.20160104.12

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AMA Style

Santosh Kumar Suman, Vinod Kumar Giri. Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor. Am J Eng Technol Manag. 2016;1(4):59-64. doi: 10.11648/j.ajetm.20160104.12

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@article{10.11648/j.ajetm.20160104.12,
  author = {Santosh Kumar Suman and Vinod Kumar Giri},
  title = {Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor},
  journal = {American Journal of Engineering and Technology Management},
  volume = {1},
  number = {4},
  pages = {59-64},
  doi = {10.11648/j.ajetm.20160104.12},
  url = {https://doi.org/10.11648/j.ajetm.20160104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajetm.20160104.12},
  abstract = {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.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor
AU  - Santosh Kumar Suman
AU  - Vinod Kumar Giri
Y1  - 2016/11/07
PY  - 2016
N1  - https://doi.org/10.11648/j.ajetm.20160104.12
DO  - 10.11648/j.ajetm.20160104.12
T2  - American Journal of Engineering and Technology Management
JF  - American Journal of Engineering and Technology Management
JO  - American Journal of Engineering and Technology Management
SP  - 59
EP  - 64
PB  - Science Publishing Group
SN  - 2575-1441
UR  - https://doi.org/10.11648/j.ajetm.20160104.12
AB  - 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.
VL  - 1
IS  - 4
ER  -

Copy | Download