Improvement of Control System Responses Using GAs PID Controller

Santosh Kumar Suman

doi:doi:10.11648/j.ijimse.20170202.12

| Peer-Reviewed

Improvement of Control System Responses Using GAs PID Controller

Santosh Kumar Suman

Published in International Journal of Industrial and Manufacturing Systems Engineering (Volume 2, Issue 2)

Received: 6 March 2017 Accepted: 24 March 2017 Published: 10 April 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Enhance system performance of the controller using genetic algorithm. This paper introduces Genetic algorithms which is a part of evolutionary computing techniques. It is specially invented for development of natural selection and genetic evaluation. Genetic algorithms are an emerging technology for basic algorithms used to generate solution and one of the most efficient tools for solving optimization problem. The purpose of this paper is to provide solution and improve result of system. The aim of this paper is to complete parameters tuning of a PID controller using GAs). This is a significant feature to achieve optimal controller parameters which give fulfilled results and improve the control system response.

Published in	International Journal of Industrial and Manufacturing Systems Engineering (Volume 2, Issue 2)
DOI	10.11648/j.ijimse.20170202.12
Page(s)	11-18
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), 2017. Published by Science Publishing Group

Keywords

Genetic Algorithms, Fitness Function, Genetic Operators, Flow Diagram, PID Controller

References

[1]	Pushpendra Kumar Yadav,and N. L. Prajapati, “An Overview of Genetic Algorithm and Modeling,” International Journal of Scientific and Research Publications, vol. 2, September 2012.
[2]	Richa Garg and Saurabh mittal, “Optimization by Genetic Algorithm,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 4, April 2014.
[3]	J. H. Halland, “Adaptation in Natural and Artificial system,” The University of Michigan Press, Ann Arbor, MI, 1975.
[4]	An Introduction to Genetic Algorithms and Evolution Strategies Mehrdad Dianati, Insop Song, and 3Mark Treiber,200 Univ. Ave. West, University of Waterloo, Ontario, N2L 3G1, Canada.
[5]	Noraini Mohd Razali, and John Geraghty, “A genetic algorithm performance with different selection strategies,” Proceedings of the World Congress on Engineering Vol II, 2011.
[6]	Gopesh Joshi, “Review of Genetic Algorithm: An Optimization Technique,”International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 4, April 2014.
[7]	D. E. Goldberg, Genetic Algorithms is Search, Optimization, and Machine learning Reading MA: Addison-Wesley, 1989.
[8]	M. Srinivas, and Latit M. Patnaik, “Genetic Algorithms: A Survey,’’ IEEE Computer,, pp 17-26, June 1994.
[9]	Atulya,Shivam, and Shree Avinash Bhattarmakki, and Vikas Kumar Singh, “Application of Genetic Algorithms for Optimization,” Jan, 2014 - Apr, 2014.
[10]	S. Rajasekaran, and G. A. Vijayalaksmi Pai. “Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications,” New Delhi, Prentice -Hall of India Private Ltd., 2003.
[11]	K. F. Man, K. S. Tang, and S. Kwong, “Genetic Algorithms: Concepts and Applications”, IEEE Transaction on Industrial Electronics, vol. 43, no. 5, October 1996.
[12]	Mitchell and Melanie, “An Introduction to Genetic AlgorithmsMIT Press, 1996.
[13]	D. Goldberg, “Genetic Algorithms in Search, Optimization and Machine learning,” Addison-Wesley, 1989.
[14]	Anshul Sharma and Anuj Mehta, “Review Paper of Various Selection Methods in Genetic Algorithm,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, July 2013.
[15]	K. Jayavani and G. M. Kadhar Nawaz, “Study of Genetic Algorithm, an Evolutionary Approach,” International Journal on Recent and Innovation Trends in Computing and Communication, vol.2 Issue: 8.
[16]	Santosh Kumar Suman and Vinod Kumar Giri, “Genetic Algorithms: Basic Concepts and Real World Applications,” International Journal of Electrical, Electronics and Computer Systems (IJEECS), Vol -3, Issue-12 pp.116-123, 2015.
[17]	Usage of Partial Genome Fitness Evaluation Mechanism to Get Faster Results in Genetic Algorithms. 25th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM (2014)-ELSEVIER.
[18]	Genetic Algorithm based concept design to optimize network load balance ISSN: 2229-6956 (Online) ictact journal on soft computing, vol. 02, July 2012.
[19]	Andre, David and Astro Teller. "Evolving team Darwin United." In RoboCup-98: Robot Soccer World Cup II, Minoru Asada and Hiroaki Kitano (eds). Lecture Notes in Computer Science, vol.1604, pp.346-352. Springer-Verlag, 1999.
[20]	K. F. Man, K. S. and Tang, S. Kwong, “Genetic Algorithms: Concept and Designs”, Springer, Chapter 1-10, pp 1-348.
[21]	M. Mahalakshmi, P. Kalaivani and E. Kiruba Nesamalar, “A Review on Genetic Algorithm and its Applications,” International Journal of Computing Algorithm, vol. 02, pp. 415-423, December 2013.
[22]	Santosh Kumar Suman and 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.
[23]	Pratibha Bajpai et al, “Genetic Algorithm– an Approach to Solve Global Optimization Problems,” Indian Journal of Computer Science and Engineering, vol. 1, No 3 199-206.

Cite This Article

Plain Text BibTeX RIS

APA Style

Santosh Kumar Suman. (2017). Improvement of Control System Responses Using GAs PID Controller. International Journal of Industrial and Manufacturing Systems Engineering, 2(2), 11-18. https://doi.org/10.11648/j.ijimse.20170202.12

Copy | Download

ACS Style

Santosh Kumar Suman. Improvement of Control System Responses Using GAs PID Controller. Int. J. Ind. Manuf. Syst. Eng. 2017, 2(2), 11-18. doi: 10.11648/j.ijimse.20170202.12

Copy | Download

AMA Style

Santosh Kumar Suman. Improvement of Control System Responses Using GAs PID Controller. Int J Ind Manuf Syst Eng. 2017;2(2):11-18. doi: 10.11648/j.ijimse.20170202.12

Copy | Download

@article{10.11648/j.ijimse.20170202.12,
  author = {Santosh Kumar Suman},
  title = {Improvement of Control System Responses Using GAs PID Controller},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {2},
  number = {2},
  pages = {11-18},
  doi = {10.11648/j.ijimse.20170202.12},
  url = {https://doi.org/10.11648/j.ijimse.20170202.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20170202.12},
  abstract = {Enhance system performance of the controller using genetic algorithm. This paper introduces Genetic algorithms which is a part of evolutionary computing techniques. It is specially invented for development of natural selection and genetic evaluation. Genetic algorithms are an emerging technology for basic algorithms used to generate solution and one of the most efficient tools for solving optimization problem. The purpose of this paper is to provide solution and improve result of system. The aim of this paper is to complete parameters tuning of a PID controller using GAs). This is a significant feature to achieve optimal controller parameters which give fulfilled results and improve the control system response.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Improvement of Control System Responses Using GAs PID Controller
AU  - Santosh Kumar Suman
Y1  - 2017/04/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ijimse.20170202.12
DO  - 10.11648/j.ijimse.20170202.12
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 11
EP  - 18
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20170202.12
AB  - Enhance system performance of the controller using genetic algorithm. This paper introduces Genetic algorithms which is a part of evolutionary computing techniques. It is specially invented for development of natural selection and genetic evaluation. Genetic algorithms are an emerging technology for basic algorithms used to generate solution and one of the most efficient tools for solving optimization problem. The purpose of this paper is to provide solution and improve result of system. The aim of this paper is to complete parameters tuning of a PID controller using GAs). This is a significant feature to achieve optimal controller parameters which give fulfilled results and improve the control system response.
VL  - 2
IS  - 2
ER  -

Copy | Download

Author Information

Santosh Kumar Suman

Department of Electrical Engineering, Rajkiya Engineering College, Kannauj, Uttar Pradesh, India

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Santosh Kumar Suman. (2017). Improvement of Control System Responses Using GAs PID Controller. International Journal of Industrial and Manufacturing Systems Engineering, 2(2), 11-18. https://doi.org/10.11648/j.ijimse.20170202.12

Copy | Download

ACS Style

Santosh Kumar Suman. Improvement of Control System Responses Using GAs PID Controller. Int. J. Ind. Manuf. Syst. Eng. 2017, 2(2), 11-18. doi: 10.11648/j.ijimse.20170202.12

Copy | Download

AMA Style

Santosh Kumar Suman. Improvement of Control System Responses Using GAs PID Controller. Int J Ind Manuf Syst Eng. 2017;2(2):11-18. doi: 10.11648/j.ijimse.20170202.12

Copy | Download

@article{10.11648/j.ijimse.20170202.12,
  author = {Santosh Kumar Suman},
  title = {Improvement of Control System Responses Using GAs PID Controller},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {2},
  number = {2},
  pages = {11-18},
  doi = {10.11648/j.ijimse.20170202.12},
  url = {https://doi.org/10.11648/j.ijimse.20170202.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20170202.12},
  abstract = {Enhance system performance of the controller using genetic algorithm. This paper introduces Genetic algorithms which is a part of evolutionary computing techniques. It is specially invented for development of natural selection and genetic evaluation. Genetic algorithms are an emerging technology for basic algorithms used to generate solution and one of the most efficient tools for solving optimization problem. The purpose of this paper is to provide solution and improve result of system. The aim of this paper is to complete parameters tuning of a PID controller using GAs). This is a significant feature to achieve optimal controller parameters which give fulfilled results and improve the control system response.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Improvement of Control System Responses Using GAs PID Controller
AU  - Santosh Kumar Suman
Y1  - 2017/04/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ijimse.20170202.12
DO  - 10.11648/j.ijimse.20170202.12
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 11
EP  - 18
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20170202.12
AB  - Enhance system performance of the controller using genetic algorithm. This paper introduces Genetic algorithms which is a part of evolutionary computing techniques. It is specially invented for development of natural selection and genetic evaluation. Genetic algorithms are an emerging technology for basic algorithms used to generate solution and one of the most efficient tools for solving optimization problem. The purpose of this paper is to provide solution and improve result of system. The aim of this paper is to complete parameters tuning of a PID controller using GAs). This is a significant feature to achieve optimal controller parameters which give fulfilled results and improve the control system response.
VL  - 2
IS  - 2
ER  -

Copy | Download