Fuzzy-PID gains tuning: Differential evolution versus second order analytical algorithms

Ana Sebastião; Catarina Lucena; Luis Palma; Paulo Gil

doi:10.1109/ASCC.2015.7244378

Fuzzy-PID gains tuning: Differential evolution versus second order analytical algorithms

Ana Sebastião, Catarina Lucena, Luis Palma, Paulo Gil

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a comparison between two distinct constrained optimisation based approaches for tuning the gains of fuzzy-Proportional-Integral-Derivative controllers. One of the frameworks is based on a second order analytical optimisation approach, while the other relies on a differential evolutionary algorithm. In both methodologies, the cost function is related to the closed loop system performance. The system dynamics is described by a nonlinear model, and the set of constraints to the solution includes bounds on gains, control actions and on the system outputs. Experimental results carried out on a Multi-Input Multi-Output benchmark system illustrate the advantages of using a global optimisation approach. © 2015 IEEE.

Original language	English
Title of host publication	2015 10th Asian Control Conference (ASCC)
Place of Publication	Kinabalu, Malaysia
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	978-1-4799-7862-5
DOIs	https://doi.org/10.1109/ASCC.2015.7244378
Publication status	Published - 1 May 2015
Event	10th Asian Control Conference (ASCC 2015) - Kota Kinabalu, Malaysia Duration: 31 May 2015 → 3 Jun 2015 Conference number: 10th

Conference

Conference	10th Asian Control Conference (ASCC 2015)
Abbreviated title	ASCC 2015
Country/Territory	Malaysia
City	Kota Kinabalu
Period	31/05/15 → 3/06/15

Keywords

Niobium
Tuning
Optimization
Fuzzy logic
Control systems
Nonlinear dynamical systems

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10.1109/ASCC.2015.7244378

Cite this

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title = "Fuzzy-PID gains tuning: Differential evolution versus second order analytical algorithms",

abstract = "This paper presents a comparison between two distinct constrained optimisation based approaches for tuning the gains of fuzzy-Proportional-Integral-Derivative controllers. One of the frameworks is based on a second order analytical optimisation approach, while the other relies on a differential evolutionary algorithm. In both methodologies, the cost function is related to the closed loop system performance. The system dynamics is described by a nonlinear model, and the set of constraints to the solution includes bounds on gains, control actions and on the system outputs. Experimental results carried out on a Multi-Input Multi-Output benchmark system illustrate the advantages of using a global optimisation approach. {\textcopyright} 2015 IEEE.",

keywords = "Niobium, Tuning, Optimization, Fuzzy logic, Control systems, Nonlinear dynamical systems",

author = "Ana Sebasti{\~a}o and Catarina Lucena and Luis Palma and Paulo Gil",

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day = "1",

doi = "10.1109/ASCC.2015.7244378",

language = "English",

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booktitle = "2015 10th Asian Control Conference (ASCC)",

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note = "10th Asian Control Conference (ASCC 2015), ASCC 2015 ; Conference date: 31-05-2015 Through 03-06-2015",

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Sebastião, A, Lucena, C, Palma, L & Gil, P 2015, Fuzzy-PID gains tuning: Differential evolution versus second order analytical algorithms. in 2015 10th Asian Control Conference (ASCC). Institute of Electrical and Electronics Engineers (IEEE), Kinabalu, Malaysia, 10th Asian Control Conference (ASCC 2015), Kota Kinabalu, Malaysia, 31/05/15. https://doi.org/10.1109/ASCC.2015.7244378

Fuzzy-PID gains tuning: Differential evolution versus second order analytical algorithms. / Sebastião, Ana; Lucena, Catarina; Palma, Luis et al.
2015 10th Asian Control Conference (ASCC). Kinabalu, Malaysia: Institute of Electrical and Electronics Engineers (IEEE), 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Palma, Luis

AU - Gil, Paulo

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N2 - This paper presents a comparison between two distinct constrained optimisation based approaches for tuning the gains of fuzzy-Proportional-Integral-Derivative controllers. One of the frameworks is based on a second order analytical optimisation approach, while the other relies on a differential evolutionary algorithm. In both methodologies, the cost function is related to the closed loop system performance. The system dynamics is described by a nonlinear model, and the set of constraints to the solution includes bounds on gains, control actions and on the system outputs. Experimental results carried out on a Multi-Input Multi-Output benchmark system illustrate the advantages of using a global optimisation approach. © 2015 IEEE.

AB - This paper presents a comparison between two distinct constrained optimisation based approaches for tuning the gains of fuzzy-Proportional-Integral-Derivative controllers. One of the frameworks is based on a second order analytical optimisation approach, while the other relies on a differential evolutionary algorithm. In both methodologies, the cost function is related to the closed loop system performance. The system dynamics is described by a nonlinear model, and the set of constraints to the solution includes bounds on gains, control actions and on the system outputs. Experimental results carried out on a Multi-Input Multi-Output benchmark system illustrate the advantages of using a global optimisation approach. © 2015 IEEE.

KW - Niobium

KW - Tuning

KW - Optimization

KW - Fuzzy logic

KW - Control systems

KW - Nonlinear dynamical systems

U2 - 10.1109/ASCC.2015.7244378

DO - 10.1109/ASCC.2015.7244378

M3 - Conference contribution

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BT - 2015 10th Asian Control Conference (ASCC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Kinabalu, Malaysia

Y2 - 31 May 2015 through 3 June 2015

ER -

Fuzzy-PID gains tuning: Differential evolution versus second order analytical algorithms

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Keywords

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