2015 Intelligent Systems and Computer Vision (ISCV) 2015
DOI: 10.1109/isacv.2015.7106188
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An interval type-2 fuzzy logic PSS with the optimal H<inf>&#x221E;</inf> tracking control for multi-machine power system

Abstract: The aim of this paper is to design a nonlinear robust controller for a multi-machine power system. The optimal H∞ tracking control combined with the interval type-2 fuzzy logic control as a power system stabilizer is proposed in this study. The type-2 fuzzy logic based on interval value sets is capable for modeling the uncertainty and imprecision and to overcome the drawbacks of the conventional PSS. The optimal H∞ tracking control guarantees the convergence of the errors to the neighborhood of zero. The objec… Show more

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Cited by 5 publications
(3 citation statements)
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“…Researchers found some lacks in GA performance, which looked at the application with greatly epistatic objective functions. Also, the hasty convergence of GA reduces its act and decreases the search capability [13,15] Secondly, PSS design, by robust & evolutionary control techniques as H∞ control [16,17], quantitative feedback theory [18], & sliding mode [19]. Thirdly, researchers work to enhance PSS performance by changing its structure, optimal and a suboptimal power system stabilizer [20], fractional-order proportionalintegral-differential (FOPID) controller [21], multi-band PSS [7,22].…”
Section: Introductionmentioning
confidence: 99%
“…Researchers found some lacks in GA performance, which looked at the application with greatly epistatic objective functions. Also, the hasty convergence of GA reduces its act and decreases the search capability [13,15] Secondly, PSS design, by robust & evolutionary control techniques as H∞ control [16,17], quantitative feedback theory [18], & sliding mode [19]. Thirdly, researchers work to enhance PSS performance by changing its structure, optimal and a suboptimal power system stabilizer [20], fractional-order proportionalintegral-differential (FOPID) controller [21], multi-band PSS [7,22].…”
Section: Introductionmentioning
confidence: 99%
“…By eliminating the disadvantages in terms of the modeling of dynamic uncertainties, it was made it possible to develop controllers that use Type-2 fuzzy logic for control, which could be applied to more complex control problems, such as the reference tracking of nonlinear systems for example [8,13,28].…”
Section: Introductionmentioning
confidence: 99%
“…The H∞ control performance for uncertain nonlinear systems is proposed to attenuate the effects caused by modeled dynamics, disturbances and approximate errors [13].…”
Section: Introductionmentioning
confidence: 99%