PID tuning control strategy using Cuckoo Search algorithm

Direct-Current (DC) servo motor precision and accuracy is crucial. Therefore, proper tuning of these motors is crucial. This paper focuses on using nature-inspired metaheuristic algorithms due to its' capability to improve the current control systems in terms of rise time, settling time, oversh...

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Main Authors: Singh, K.S.M.J., Elamvazuthi, I., Shaari, K.Z.K., Lima, F.V.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.25913 /
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966589344&doi=10.1109%2fSCORED.2015.7449309&partnerID=40&md5=066ae0bf513ba3da7ac9755f7883924a
http://eprints.utp.edu.my/25913/
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spelling utp-eprints.259132021-08-27T13:39:52Z PID tuning control strategy using Cuckoo Search algorithm Singh, K.S.M.J. Elamvazuthi, I. Shaari, K.Z.K. Lima, F.V. Direct-Current (DC) servo motor precision and accuracy is crucial. Therefore, proper tuning of these motors is crucial. This paper focuses on using nature-inspired metaheuristic algorithms due to its' capability to improve the current control systems in terms of rise time, settling time, overshoot and steady state error. Algorithms that have been investigated are the Cuckoo Search (CS) in tuning the Proportional-Integral-Derivative (PID) controller. © 2015 IEEE. Institute of Electrical and Electronics Engineers Inc. 2015 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966589344&doi=10.1109%2fSCORED.2015.7449309&partnerID=40&md5=066ae0bf513ba3da7ac9755f7883924a Singh, K.S.M.J. and Elamvazuthi, I. and Shaari, K.Z.K. and Lima, F.V. (2015) PID tuning control strategy using Cuckoo Search algorithm. In: UNSPECIFIED. http://eprints.utp.edu.my/25913/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Direct-Current (DC) servo motor precision and accuracy is crucial. Therefore, proper tuning of these motors is crucial. This paper focuses on using nature-inspired metaheuristic algorithms due to its' capability to improve the current control systems in terms of rise time, settling time, overshoot and steady state error. Algorithms that have been investigated are the Cuckoo Search (CS) in tuning the Proportional-Integral-Derivative (PID) controller. © 2015 IEEE.
format Conference or Workshop Item
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
author_sort Singh, K.S.M.J.
title PID tuning control strategy using Cuckoo Search algorithm
title_short PID tuning control strategy using Cuckoo Search algorithm
title_full PID tuning control strategy using Cuckoo Search algorithm
title_fullStr PID tuning control strategy using Cuckoo Search algorithm
title_full_unstemmed PID tuning control strategy using Cuckoo Search algorithm
title_sort pid tuning control strategy using cuckoo search algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966589344&doi=10.1109%2fSCORED.2015.7449309&partnerID=40&md5=066ae0bf513ba3da7ac9755f7883924a
http://eprints.utp.edu.my/25913/
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score 11.62408