About: Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	PID controllers are widely used in industry these days due to their useful properties such as simple tuning or robustness. While they are applicable to many control problems, they can perform poorly in some applications. Highly nonlinear system control with constrained manipulated variable can be mentioned as an example. The point of the paper is to string together convenient qualities of conventional PID control and progressive techniques based on Artificial Intelligence. Proposed control method should deal with even highly nonlinear systems. To be more specific, there is described new method of discrete PID controller tuning in this paper. This method tunes discrete PID controller parameters online through the use of genetic algorithm and neural model of controlled system in order to control successfully even highly nonlinear systems. After method description and some discussion, there is performed control simulation and comparison to one chosen conventional control method. PID controllers are widely used in industry these days due to their useful properties such as simple tuning or robustness. While they are applicable to many control problems, they can perform poorly in some applications. Highly nonlinear system control with constrained manipulated variable can be mentioned as an example. The point of the paper is to string together convenient qualities of conventional PID control and progressive techniques based on Artificial Intelligence. Proposed control method should deal with even highly nonlinear systems. To be more specific, there is described new method of discrete PID controller tuning in this paper. This method tunes discrete PID controller parameters online through the use of genetic algorithm and neural model of controlled system in order to control successfully even highly nonlinear systems. After method description and some discussion, there is performed control simulation and comparison to one chosen conventional control method. (en)
Title	Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks (en)
skos:prefLabel	Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks (en)
skos:notation	RIV/00216275:25530/09:00009495!RIV10-MSM-25530___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021627505)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Doležel, Petr Mareš, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Pardubice / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	340706
http://linked.open...ai/riv/idVysledku	RIV/00216275:25530/09:00009495
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Genetic algorithm; Artifitial neural networks (en)
http://linked.open.../riv/klicoveSlovo	Genetic algorithm Artifitial neural networks
http://linked.open...ontrolniKodProRIV	[F542BE3179D5]
http://linked.open...v/mistoKonaniAkce	Ostrava
http://linked.open...i/riv/mistoVydani	Ostrava
http://linked.open...i/riv/nazevZdroje	Proceedings of XXXIVth Seminary ASR 09 Instrument a Control
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Doležel, Petr Mareš, Jan
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2009-04-24 (xsd:date)
http://linked.open...n/vavai/riv/zamer	TEORIE DOPRAVNÍCH SYSTÉMŮ
number of pages	1 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn	978-80-248-2011-8
http://localhost/t...ganizacniJednotka	25530
is http://linked.open...avai/riv/vysledek of	Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks

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