PID control tuning via particle swarm optimization for coupled tank system
This paper presents the use of meta-heuristic technique to obtain three parameters (KP, KI and KD) of PID controller for Coupled Tank System (CTS). Particle Swarm Optimization (PSO) is chosen and Sum Squared Error is selected as objective function. This PSO is implemented for controlling desired liq...
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Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.
2014
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my.utem.eprints.127632023-06-01T11:38:17Z http://eprints.utem.edu.my/id/eprint/12763/ PID control tuning via particle swarm optimization for coupled tank system Syed Hussien, Sharifah Yuslinda Jaafar, Hazriq Izzuan Selamat, Nur Asmiza Daud, Fiona Serina Zainal Abidin, Amar Faiz TK Electrical engineering. Electronics Nuclear engineering This paper presents the use of meta-heuristic technique to obtain three parameters (KP, KI and KD) of PID controller for Coupled Tank System (CTS). Particle Swarm Optimization (PSO) is chosen and Sum Squared Error is selected as objective function. This PSO is implemented for controlling desired liquid level of CTS. Then, the performances of the system are compared to various conventional techniques which are Trial and Error, Auto-Tuning, Ziegler-Nichols (Z-N) and Cohen-Coon (C-C) method. Simulation is conducted within Matlab environment to verify the transient response specifications in terms of Rise Time (TR), Settling Time (TS), Steady State Error (SSE) and Overshoot (OS). Result obtained shows that performance of CTS can be improved via PSO as PID tuning methods. Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 2014-05 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/12763/1/2014_Journal_IJSCE_B2253054214.pdf Syed Hussien, Sharifah Yuslinda and Jaafar, Hazriq Izzuan and Selamat, Nur Asmiza and Daud, Fiona Serina and Zainal Abidin, Amar Faiz (2014) PID control tuning via particle swarm optimization for coupled tank system. International Journal of Soft Computing and Engineering (IJSCE), 4 (2). pp. 202-206. ISSN 2231-2307 https://www.ijsce.org/wp-content/uploads/papers/v4i2/B2253054214.pdf |
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TK Electrical engineering. Electronics Nuclear engineering Syed Hussien, Sharifah Yuslinda Jaafar, Hazriq Izzuan Selamat, Nur Asmiza Daud, Fiona Serina Zainal Abidin, Amar Faiz PID control tuning via particle swarm optimization for coupled tank system |
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This paper presents the use of meta-heuristic technique to obtain three parameters (KP, KI and KD) of PID controller for Coupled Tank System (CTS). Particle Swarm Optimization (PSO) is chosen and Sum Squared Error is selected as objective function. This PSO is implemented for controlling desired liquid level of CTS. Then, the performances of the system are compared to various conventional techniques which are Trial and Error, Auto-Tuning, Ziegler-Nichols (Z-N) and Cohen-Coon (C-C) method. Simulation is conducted within Matlab environment to verify the transient response specifications in terms of Rise Time (TR), Settling Time (TS), Steady State Error (SSE) and Overshoot (OS). Result obtained shows that performance of CTS can be improved via PSO as PID tuning methods. |
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Article |
author |
Syed Hussien, Sharifah Yuslinda Jaafar, Hazriq Izzuan Selamat, Nur Asmiza Daud, Fiona Serina Zainal Abidin, Amar Faiz |
author_facet |
Syed Hussien, Sharifah Yuslinda Jaafar, Hazriq Izzuan Selamat, Nur Asmiza Daud, Fiona Serina Zainal Abidin, Amar Faiz |
author_sort |
Syed Hussien, Sharifah Yuslinda |
title |
PID control tuning via particle swarm optimization for coupled tank system |
title_short |
PID control tuning via particle swarm optimization for coupled tank system |
title_full |
PID control tuning via particle swarm optimization for coupled tank system |
title_fullStr |
PID control tuning via particle swarm optimization for coupled tank system |
title_full_unstemmed |
PID control tuning via particle swarm optimization for coupled tank system |
title_sort |
pid control tuning via particle swarm optimization for coupled tank system |
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Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. |
publishDate |
2014 |
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http://eprints.utem.edu.my/id/eprint/12763/1/2014_Journal_IJSCE_B2253054214.pdf http://eprints.utem.edu.my/id/eprint/12763/ https://www.ijsce.org/wp-content/uploads/papers/v4i2/B2253054214.pdf |
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