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Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor

Investigating less computationally expensive methods for achieving optimal tuning of proportional, integral, and derivative gains in PID controller also has become a main challenging topic in the world of control systems. This paper aims to propose a new less-expensive method to the optimal design o...

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Main Authors: Parnianifard, Amir, Ahmad, Siti Azfanizam, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Mohd Idris Shah, Maghami, Mohammad Reza, Gomes, Chandima
Format: Article
Language:English
Published: American Scientific Publishers 2018
Online Access:http://psasir.upm.edu.my/id/eprint/74806/1/Kriging%20and%20Latin%20Hypercube%20Sampling%20assisted%20simulation%20optimization%20in%20optimal%20design%20of%20PID%20controller%20for%20speed%20control%20of%20DC%20motor.pdf
http://psasir.upm.edu.my/id/eprint/74806/
https://www.ingentaconnect.com/content/asp/jctn/2018/00000015/00000005/art00007
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spelling my.upm.eprints.748062019-12-05T09:05:49Z http://psasir.upm.edu.my/id/eprint/74806/ Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor Parnianifard, Amir Ahmad, Siti Azfanizam Mohd Ariffin, Mohd Khairol Anuar Ismail, Mohd Idris Shah Maghami, Mohammad Reza Gomes, Chandima Investigating less computationally expensive methods for achieving optimal tuning of proportional, integral, and derivative gains in PID controller also has become a main challenging topic in the world of control systems. This paper aims to propose a new less-expensive method to the optimal design of PID controller. For this purpose, Kriging metamodel is used with Latin Hypercube Sampling (LHS) as a common experimental design method in the class of space filling design. Kriging can interpolate over whole design space and assisted to investigate global optimum point. A numerical case in the tuning of PID controller for linear speed control of DC motor is served to show the applicability and superiority of proposed method compared to two existing methods such as traditional Zeigler-Nichols method and Taguchi-Grey Relational Analysis (Taguchi-GRA). American Scientific Publishers 2018-05 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/74806/1/Kriging%20and%20Latin%20Hypercube%20Sampling%20assisted%20simulation%20optimization%20in%20optimal%20design%20of%20PID%20controller%20for%20speed%20control%20of%20DC%20motor.pdf Parnianifard, Amir and Ahmad, Siti Azfanizam and Mohd Ariffin, Mohd Khairol Anuar and Ismail, Mohd Idris Shah and Maghami, Mohammad Reza and Gomes, Chandima (2018) Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor. Journal of Computational and Theoretical Nanoscience, 15 (5). 1471 - 1479. ISSN 1546-1955; ESSN: 1546-1963 https://www.ingentaconnect.com/content/asp/jctn/2018/00000015/00000005/art00007 10.1166/jctn.2018.7379
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Investigating less computationally expensive methods for achieving optimal tuning of proportional, integral, and derivative gains in PID controller also has become a main challenging topic in the world of control systems. This paper aims to propose a new less-expensive method to the optimal design of PID controller. For this purpose, Kriging metamodel is used with Latin Hypercube Sampling (LHS) as a common experimental design method in the class of space filling design. Kriging can interpolate over whole design space and assisted to investigate global optimum point. A numerical case in the tuning of PID controller for linear speed control of DC motor is served to show the applicability and superiority of proposed method compared to two existing methods such as traditional Zeigler-Nichols method and Taguchi-Grey Relational Analysis (Taguchi-GRA).
format Article
author Parnianifard, Amir
Ahmad, Siti Azfanizam
Mohd Ariffin, Mohd Khairol Anuar
Ismail, Mohd Idris Shah
Maghami, Mohammad Reza
Gomes, Chandima
spellingShingle Parnianifard, Amir
Ahmad, Siti Azfanizam
Mohd Ariffin, Mohd Khairol Anuar
Ismail, Mohd Idris Shah
Maghami, Mohammad Reza
Gomes, Chandima
Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor
author_facet Parnianifard, Amir
Ahmad, Siti Azfanizam
Mohd Ariffin, Mohd Khairol Anuar
Ismail, Mohd Idris Shah
Maghami, Mohammad Reza
Gomes, Chandima
author_sort Parnianifard, Amir
title Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor
title_short Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor
title_full Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor
title_fullStr Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor
title_full_unstemmed Kriging and Latin hypercube sampling assisted simulation optimization in optimal design of PID controller for speed control of DC motor
title_sort kriging and latin hypercube sampling assisted simulation optimization in optimal design of pid controller for speed control of dc motor
publisher American Scientific Publishers
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/74806/1/Kriging%20and%20Latin%20Hypercube%20Sampling%20assisted%20simulation%20optimization%20in%20optimal%20design%20of%20PID%20controller%20for%20speed%20control%20of%20DC%20motor.pdf
http://psasir.upm.edu.my/id/eprint/74806/
https://www.ingentaconnect.com/content/asp/jctn/2018/00000015/00000005/art00007
_version_ 1654961594549927936
score 13.244109

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