A new adaptive configuration of PID type fuzzy logic controller

In this paper, an adaptive configuration for PID type fuzzy logic controller (FLC) is proposed to improve the performances of both conventional PID (C-PID) controller and conventional PID type FLC (C-PID-FLC). The proposed configuration is called adaptive because its output scaling factors (SFs) are...

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Main Authors: Fereidouni, Alireza, Masoum, M., Moghbel, Moayed
Format: Journal Article
Published: ELSEVIER SCIENCE INC 2015
Online Access:http://hdl.handle.net/20.500.11937/43710
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author Fereidouni, Alireza
Masoum, M.
Moghbel, Moayed
author_facet Fereidouni, Alireza
Masoum, M.
Moghbel, Moayed
author_sort Fereidouni, Alireza
building Curtin Institutional Repository
collection Online Access
description In this paper, an adaptive configuration for PID type fuzzy logic controller (FLC) is proposed to improve the performances of both conventional PID (C-PID) controller and conventional PID type FLC (C-PID-FLC). The proposed configuration is called adaptive because its output scaling factors (SFs) are dynamically tuned while the controller is functioning. The initial values of SFs are calculated based on its well-tuned counterpart while the proceeding values are generated using a proposed stochastic hybrid bacterial foraging particle swarm optimization (h-BF-PSO) algorithm. The performance of the proposed configuration is evaluated through extensive simulations for different operating conditions (changes in reference, load disturbance and noise signals). The results reveal that the proposed scheme performs significantly better over the C-PID controller and the C-PID-FLC in terms of several performance indices (integral absolute error (IAE), integral-of-time-multiplied absolute error (ITAE) and integral-of-time-multiplied squared error (ITSE)), overshoot and settling time for plants with and without dead time.
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spelling curtin-20.500.11937-437102017-09-13T13:37:33Z A new adaptive configuration of PID type fuzzy logic controller Fereidouni, Alireza Masoum, M. Moghbel, Moayed In this paper, an adaptive configuration for PID type fuzzy logic controller (FLC) is proposed to improve the performances of both conventional PID (C-PID) controller and conventional PID type FLC (C-PID-FLC). The proposed configuration is called adaptive because its output scaling factors (SFs) are dynamically tuned while the controller is functioning. The initial values of SFs are calculated based on its well-tuned counterpart while the proceeding values are generated using a proposed stochastic hybrid bacterial foraging particle swarm optimization (h-BF-PSO) algorithm. The performance of the proposed configuration is evaluated through extensive simulations for different operating conditions (changes in reference, load disturbance and noise signals). The results reveal that the proposed scheme performs significantly better over the C-PID controller and the C-PID-FLC in terms of several performance indices (integral absolute error (IAE), integral-of-time-multiplied absolute error (ITAE) and integral-of-time-multiplied squared error (ITSE)), overshoot and settling time for plants with and without dead time. 2015 Journal Article http://hdl.handle.net/20.500.11937/43710 10.1016/j.isatra.2014.11.010 ELSEVIER SCIENCE INC restricted
spellingShingle Fereidouni, Alireza
Masoum, M.
Moghbel, Moayed
A new adaptive configuration of PID type fuzzy logic controller
title A new adaptive configuration of PID type fuzzy logic controller
title_full A new adaptive configuration of PID type fuzzy logic controller
title_fullStr A new adaptive configuration of PID type fuzzy logic controller
title_full_unstemmed A new adaptive configuration of PID type fuzzy logic controller
title_short A new adaptive configuration of PID type fuzzy logic controller
title_sort new adaptive configuration of pid type fuzzy logic controller
url http://hdl.handle.net/20.500.11937/43710