TY  - CONF
A1  - Halim, A.H.
A1  - Ismail, I.
PB  - EDP Sciences
SN  - 2261236X
KW  - Controllers; Forestry; Physiology; Plants (botany); Trees (mathematics); Two term control systems
KW  -  Controller tuning; Correlated parameters; Meta heuristic algorithm; Optimization algorithms; Parallel search; Proportional integral controllers; Proportional-integral control; Time consumption
KW  -  Optimization
Y1  - 2017///
TI  - Tree Physiology Optimization tuning rule for Proportional-Integral control
N1  - cited By 0; Conference of 2017 UTP-UMP Symposium on Energy Systems, SES 2017 ; Conference Date: 26 September 2017 Through 27 September 2017; Conference Code:131396
AV  - none
ID  - scholars8262
N2  - 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.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033221236&doi=10.1051%2fmatecconf%2f201713103018&partnerID=40&md5=1a6e41d8d8a0a8fe3a3525e3de58e9ea
VL  - 131
ER  -