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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F09%3A00009495" target="_blank" >RIV/00216275:25530/09:00009495 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Self-tuning PID Control using Genetic Algorithm and Artificial Neural Networks
Original language 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 shoulddeal 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.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of XXXIVth Seminary ASR 09 Instrument a Control
ISBN
978-80-248-2011-8
ISSN
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e-ISSN
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Number of pages
1
Pages from-to
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Publisher name
Vysoká škola báňská-Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Apr 24, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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