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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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American Scientific Publishers
2018
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| 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 |
| _version_ | 1796979765076295680 |
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| author | Parnianifard, Amir Ahmad, Siti Azfanizam Mohd Ariffin, Mohd Khairol Anuar Ismail, Mohd Idris Shah Maghami, Mohammad Reza Gomes, Chandima |
| 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 |
| collection | UPM |
| 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). |
| first_indexed | 2024-03-06T10:13:43Z |
| format | Article |
| id | upm.eprints-74806 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:13:43Z |
| publishDate | 2018 |
| publisher | American Scientific Publishers |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| 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 |
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