relation: https://khub.utp.edu.my/scholars/8262/
title: Tree Physiology Optimization tuning rule for Proportional-Integral control
creator: Halim, A.H.
creator: Ismail, I.
description: This paper presents a tuning correlation for Proportional-Integral (PI) controller parameters using Tree Physiology Optimization algorithm (TPO). TPO is a metaheuristic algorithm that has parallel search strategy inspired from plant growth system. The parallel search is referred to the plant branches and leaves that able to diversify the search space and therefore finding promising results in much faster iterations. The exploration is amplified from roots growth counterparts. In the proposed method, a tuning correlation of PI-controller using TPO is established and the performances of correlated parameters are compared with Ciancone correlation. The idea of correlation tuning is to reduce the optimization time consumption and engineering efforts in controller tuning. The results shown that the tuning correlation of TPO is able to find good PI parameters with lesser error. © The authors, published by EDP Sciences, 2017.
publisher: EDP Sciences
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Halim, A.H. and Ismail, I.  (2017) Tree Physiology Optimization tuning rule for Proportional-Integral control.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033221236&doi=10.1051%2fmatecconf%2f201713103018&partnerID=40&md5=1a6e41d8d8a0a8fe3a3525e3de58e9ea
relation: 10.1051/matecconf/201713103018
identifier: 10.1051/matecconf/201713103018