Online PID controller tuning using tree physiology optimization

This paper presents the tuning of Proportional Integral Derivative (PID) controller parameter using a novel Tree Physiology Optimization (TPO). TPO is another variant of metaheuristic optimization that inspired from a plant growth system. In the proposed method, every possible solution denoted as tr...

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Main Authors: Halim, A.H., Ismail, I.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20183 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012022643&doi=10.1109%2fICIAS.2016.7824036&partnerID=40&md5=3d377e6bbe76396f1a46018d055ac8bf
http://eprints.utp.edu.my/20183/
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recordtype eprints
spelling utp-eprints.201832018-04-22T14:44:42Z Online PID controller tuning using tree physiology optimization Halim, A.H. Ismail, I. This paper presents the tuning of Proportional Integral Derivative (PID) controller parameter using a novel Tree Physiology Optimization (TPO). TPO is another variant of metaheuristic optimization that inspired from a plant growth system. In the proposed method, every possible solution denoted as tree-shoots is driven by variables from the root system. The concept is inspired from the propagation of shoot system towards better sunlight. At the same time, the root system receive fitness value which then triggers root extension towards a better possible factor and then supplied to the shoot system. This iterative correlation leads towards optimum solution. A simulation of online PID-tuning is applied to demonstrate the effectiveness of proposed algorithm and compared with other optimization method which are Particle Swarm Optimization (PSO) and Ziegler-Nichols (Z-N) method. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012022643&doi=10.1109%2fICIAS.2016.7824036&partnerID=40&md5=3d377e6bbe76396f1a46018d055ac8bf Halim, A.H. and Ismail, I. (2017) Online PID controller tuning using tree physiology optimization. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20183/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This paper presents the tuning of Proportional Integral Derivative (PID) controller parameter using a novel Tree Physiology Optimization (TPO). TPO is another variant of metaheuristic optimization that inspired from a plant growth system. In the proposed method, every possible solution denoted as tree-shoots is driven by variables from the root system. The concept is inspired from the propagation of shoot system towards better sunlight. At the same time, the root system receive fitness value which then triggers root extension towards a better possible factor and then supplied to the shoot system. This iterative correlation leads towards optimum solution. A simulation of online PID-tuning is applied to demonstrate the effectiveness of proposed algorithm and compared with other optimization method which are Particle Swarm Optimization (PSO) and Ziegler-Nichols (Z-N) method. © 2016 IEEE.
format Article
author Halim, A.H.
Ismail, I.
spellingShingle Halim, A.H.
Ismail, I.
Online PID controller tuning using tree physiology optimization
author_sort Halim, A.H.
title Online PID controller tuning using tree physiology optimization
title_short Online PID controller tuning using tree physiology optimization
title_full Online PID controller tuning using tree physiology optimization
title_fullStr Online PID controller tuning using tree physiology optimization
title_full_unstemmed Online PID controller tuning using tree physiology optimization
title_sort online pid controller tuning using tree physiology optimization
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012022643&doi=10.1109%2fICIAS.2016.7824036&partnerID=40&md5=3d377e6bbe76396f1a46018d055ac8bf
http://eprints.utp.edu.my/20183/
_version_ 1741196331194515456
score 11.62408

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