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Single and Multiple variables control using Tree Physiology Optimization

This paper presents the tuning of single-input single-output (SISO), and multiple-input multiple-output (MIMO) control system using Tree Physiology Optimization (TPO). TPO is a metaheuristic optimization algorithm that has a clustered diversification search strategy inspired from plant shoots growth...

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Main Authors: Halim, A.H., Ismail, I.
Format: Article
Published: EDP Sciences 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033214550&doi=10.1051%2fmatecconf%2f201713103017&partnerID=40&md5=5f1a43e92dcda29c2838af787c562066
http://eprints.utp.edu.my/19960/
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spelling my.utp.eprints.199602018-04-22T14:27:50Z Single and Multiple variables control using Tree Physiology Optimization Halim, A.H. Ismail, I. This paper presents the tuning of single-input single-output (SISO), and multiple-input multiple-output (MIMO) control system using Tree Physiology Optimization (TPO). TPO is a metaheuristic optimization algorithm that has a clustered diversification search strategy inspired from plant shoots growth. The clustered diversification is referred as tree branch and leaves. The exploration is amplified from roots growth counterparts. In the proposed method, each shoot from each branch search for possible solution in parallel and the fitness is evaluated based on all best values found by branch search. The proposed algorithm is also compared with deterministic gradient-free algorithm: Nelder-Mead simplex (NMS) and another metaheuristic algorithm: Particle Swarm Optimization (PSO). Results shown that TPO is able to find good PID parameters with lesser settling time for SISO and MIMO process. NMS is also able to find good PID parameters for SISO with lesser performance index, however not able to find better solution in MIMO control. PSO converged prematurely in SISO control and has high overshoot for MIMO control optimization. © The authors, published by EDP Sciences, 2017. EDP Sciences 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033214550&doi=10.1051%2fmatecconf%2f201713103017&partnerID=40&md5=5f1a43e92dcda29c2838af787c562066 Halim, A.H. and Ismail, I. (2017) Single and Multiple variables control using Tree Physiology Optimization. MATEC Web of Conferences, 131 . http://eprints.utp.edu.my/19960/
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 This paper presents the tuning of single-input single-output (SISO), and multiple-input multiple-output (MIMO) control system using Tree Physiology Optimization (TPO). TPO is a metaheuristic optimization algorithm that has a clustered diversification search strategy inspired from plant shoots growth. The clustered diversification is referred as tree branch and leaves. The exploration is amplified from roots growth counterparts. In the proposed method, each shoot from each branch search for possible solution in parallel and the fitness is evaluated based on all best values found by branch search. The proposed algorithm is also compared with deterministic gradient-free algorithm: Nelder-Mead simplex (NMS) and another metaheuristic algorithm: Particle Swarm Optimization (PSO). Results shown that TPO is able to find good PID parameters with lesser settling time for SISO and MIMO process. NMS is also able to find good PID parameters for SISO with lesser performance index, however not able to find better solution in MIMO control. PSO converged prematurely in SISO control and has high overshoot for MIMO control optimization. © The authors, published by EDP Sciences, 2017.
format Article
author Halim, A.H.
Ismail, I.
spellingShingle Halim, A.H.
Ismail, I.
Single and Multiple variables control using Tree Physiology Optimization
author_facet Halim, A.H.
Ismail, I.
author_sort Halim, A.H.
title Single and Multiple variables control using Tree Physiology Optimization
title_short Single and Multiple variables control using Tree Physiology Optimization
title_full Single and Multiple variables control using Tree Physiology Optimization
title_fullStr Single and Multiple variables control using Tree Physiology Optimization
title_full_unstemmed Single and Multiple variables control using Tree Physiology Optimization
title_sort single and multiple variables control using tree physiology optimization
publisher EDP Sciences
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033214550&doi=10.1051%2fmatecconf%2f201713103017&partnerID=40&md5=5f1a43e92dcda29c2838af787c562066
http://eprints.utp.edu.my/19960/
_version_ 1738656143816785920
score 13.211869

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