Optimal Gains Tuning of PI-Fuzzy Controllers

Paulo José Carrilho de Sousa Gil; DEE Group Author; Luís Filipe Figueira de Brito Palma

doi:10.1109/MED.2012.6265740

Optimal Gains Tuning of PI-Fuzzy Controllers

Paulo José Carrilho de Sousa Gil, DEE Group Author, Luís Filipe Figueira de Brito Palma

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

6 Citations (Scopus)

Abstract

This paper presents a new methodology fortuningthegainsoffuzzyproportional-integralcontrollerswhere the closed loop system performance is explicitly taken into account. Thegainsare found by solving a nonlinear constrained optimization problem considering the system's dynamics described by a nonlinear model, and including a setofconstraints ongains, control actions and on the system outputs. Experimental results ilustrate the relevanceofusing the proposedtuningtechnique.

Original language	Unknown
Title of host publication	IEEE
Pages	824 - 829
ISBN (Electronic)	978-1-4673-2529-5
DOIs	https://doi.org/10.1109/MED.2012.6265740
Publication status	Published - 1 Jan 2012
Event	IEEE 20th Mediterranean Conference on Control and Automation - Duration: 1 Jan 2012 → …

Conference

Conference	IEEE 20th Mediterranean Conference on Control and Automation
Period	1/01/12 → …

Access to Document

10.1109/MED.2012.6265740

Cite this

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title = "Optimal Gains Tuning of PI-Fuzzy Controllers",

abstract = "This paper presents a new methodology fortuningthegainsoffuzzyproportional-integralcontrollerswhere the closed loop system performance is explicitly taken into account. Thegainsare found by solving a nonlinear constrained optimization problem considering the system's dynamics described by a nonlinear model, and including a setofconstraints ongains, control actions and on the system outputs. Experimental results ilustrate the relevanceofusing the proposedtuningtechnique.",

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AB - This paper presents a new methodology fortuningthegainsoffuzzyproportional-integralcontrollerswhere the closed loop system performance is explicitly taken into account. Thegainsare found by solving a nonlinear constrained optimization problem considering the system's dynamics described by a nonlinear model, and including a setofconstraints ongains, control actions and on the system outputs. Experimental results ilustrate the relevanceofusing the proposedtuningtechnique.

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