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Fereidouni A, Masoum MA, Moghbel M. A new adaptive configuration of PID type fuzzy logic controller. ISA Trans. 2014;56:222-40doi: 10.1016/j.isatra.2014.11.010.
Fereidouni, A., Masoum, M. A., & Moghbel, M. (2015). A new adaptive configuration of PID type fuzzy logic controller. ISA transactions, 56222-40. https://doi.org/10.1016/j.isatra.2014.11.010
Fereidouni, Alireza, et al. "A new adaptive configuration of PID type fuzzy logic controller." ISA transactions vol. 56 (2015): 222-40. doi: https://doi.org/10.1016/j.isatra.2014.11.010
Fereidouni A, Masoum MA, Moghbel M. A new adaptive configuration of PID type fuzzy logic controller. ISA Trans. 2015 May;56:222-40. doi: 10.1016/j.isatra.2014.11.010. Epub 2014 Dec 18. PMID: 25530256.
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ISA Trans. 2015 May;56:222-40. doi: 10.1016/j.isatra.2014.11.010. Epub 2014 Dec 18.

A new adaptive configuration of PID type fuzzy logic controller.

ISA transactions

Alireza Fereidouni, Mohammad A S Masoum, Moayed Moghbel

Affiliations

  1. Department of Electrical and Computer Engineering, Curtin University, Perth, WA, Australia. Electronic address: [email protected].
  2. Department of Electrical and Computer Engineering, Curtin University, Perth, WA, Australia. Electronic address: [email protected].
  3. Department of Electrical and Computer Engineering, Curtin University, Perth, WA, Australia. Electronic address: [email protected].

PMID: 25530256 DOI: 10.1016/j.isatra.2014.11.010

Abstract

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.

Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

Keywords: Fuzzy logic; PID controller; Scaling factors

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