Genetics algorithms as a tuning tool for PID and sliding mode controllers

Juan C. Terán-Picón; José Anderez; Oscar Camacho

Genetics algorithms as a tuning tool for PID and sliding mode controllers

Juan C. Terán-Picón^*
, José Anderez
, Oscar Camacho

^*Corresponding author for this work

Universidad de los Andes Mérida

Research output: Contribution to journal › Review article › peer-review

4 Scopus citations

Abstract

In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative controller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller.

Original language	English
Pages (from-to)	45-60
Number of pages	16
Journal	Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia
Volume	28
Issue number	3
State	Published - Dec 2005
Externally published	Yes

Keywords

Genetic algorithms
PID
Sliding mode control
Tuning parameters

Cite this

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title = "Genetics algorithms as a tuning tool for PID and sliding mode controllers",

abstract = "In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative controller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller.",

keywords = "Genetic algorithms, PID, Sliding mode control, Tuning parameters",

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AU - Terán-Picón, Juan C.

AU - Anderez, José

AU - Camacho, Oscar

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N2 - In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative controller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller.

AB - In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative controller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller.

KW - Genetic algorithms

KW - PID

KW - Sliding mode control

KW - Tuning parameters

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M3 - Artículo de revisión

AN - SCOPUS:33646894679

SN - 0254-0770

VL - 28

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EP - 60

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JF - Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia

IS - 3

ER -

Genetics algorithms as a tuning tool for PID and sliding mode controllers

Abstract

Keywords

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