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PID tuning control strategy using Cuckoo search algorithm for pressure plant

Plant process is a form of a process which requires a robust controller to regulate the process. Therefore, tuning of the controller for the specific process is necessary and each controller is process specific. This paper focuses on using the biomimetic algorithm due to its' competency to impr...

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Main Authors: Singh, K.S.M.J., Elamvazuthi, I., Shaari, K.Z.K., Lima, F.V.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011995408&doi=10.1109%2fICIAS.2016.7824127&partnerID=40&md5=a62f9d6630dc9e43efc0f06d1654bb59
http://eprints.utp.edu.my/20229/
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spelling my.utp.eprints.202292018-04-22T14:46:30Z PID tuning control strategy using Cuckoo search algorithm for pressure plant Singh, K.S.M.J. Elamvazuthi, I. Shaari, K.Z.K. Lima, F.V. Plant process is a form of a process which requires a robust controller to regulate the process. Therefore, tuning of the controller for the specific process is necessary and each controller is process specific. This paper focuses on using the biomimetic algorithm due to its' competency to improve the system performance in terms of rise time, settling time and overshoot to regulate a closed loop pressure system. These biomimetic algorithms excel in optimization problems. Algorithms that will be investigated are the Ziegler-Nichols (ZN) and Cuckoo Search (CS) in tuning the Proportional-Integral-Derivative (PID) controller for a closed loop pressure plant system. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011995408&doi=10.1109%2fICIAS.2016.7824127&partnerID=40&md5=a62f9d6630dc9e43efc0f06d1654bb59 Singh, K.S.M.J. and Elamvazuthi, I. and Shaari, K.Z.K. and Lima, F.V. (2017) PID tuning control strategy using Cuckoo search algorithm for pressure plant. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20229/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Plant process is a form of a process which requires a robust controller to regulate the process. Therefore, tuning of the controller for the specific process is necessary and each controller is process specific. This paper focuses on using the biomimetic algorithm due to its' competency to improve the system performance in terms of rise time, settling time and overshoot to regulate a closed loop pressure system. These biomimetic algorithms excel in optimization problems. Algorithms that will be investigated are the Ziegler-Nichols (ZN) and Cuckoo Search (CS) in tuning the Proportional-Integral-Derivative (PID) controller for a closed loop pressure plant system. © 2016 IEEE.
format Article
author Singh, K.S.M.J.
Elamvazuthi, I.
Shaari, K.Z.K.
Lima, F.V.
spellingShingle Singh, K.S.M.J.
Elamvazuthi, I.
Shaari, K.Z.K.
Lima, F.V.
PID tuning control strategy using Cuckoo search algorithm for pressure plant
author_facet Singh, K.S.M.J.
Elamvazuthi, I.
Shaari, K.Z.K.
Lima, F.V.
author_sort Singh, K.S.M.J.
title PID tuning control strategy using Cuckoo search algorithm for pressure plant
title_short PID tuning control strategy using Cuckoo search algorithm for pressure plant
title_full PID tuning control strategy using Cuckoo search algorithm for pressure plant
title_fullStr PID tuning control strategy using Cuckoo search algorithm for pressure plant
title_full_unstemmed PID tuning control strategy using Cuckoo search algorithm for pressure plant
title_sort pid tuning control strategy using cuckoo search algorithm for pressure plant
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011995408&doi=10.1109%2fICIAS.2016.7824127&partnerID=40&md5=a62f9d6630dc9e43efc0f06d1654bb59
http://eprints.utp.edu.my/20229/
_version_ 1738656181848637440
score 13.160551

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