Discrete PID Tuning Using Artificial Intelligence Techniques
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 me...
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VSB-Technical University of Ostrava
2009-06-01
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Series: | Transactions of the VSB : Technical University of Ostrava |
Online Access: | http://transactions.fs.vsb.cz/2009-2/1685_DOLEZEL_MARES.pdf |
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doaj-0238557e89ed4f60899640aacc86f6c92020-11-24T23:37:47ZengVSB-Technical University of OstravaTransactions of the VSB : Technical University of Ostrava1210-04711804-09932009-06-01552Discrete PID Tuning Using Artificial Intelligence TechniquesPetr DOLEŽELJan MAREŠPID 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.http://transactions.fs.vsb.cz/2009-2/1685_DOLEZEL_MARES.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Petr DOLEŽEL Jan MAREŠ |
spellingShingle |
Petr DOLEŽEL Jan MAREŠ Discrete PID Tuning Using Artificial Intelligence Techniques Transactions of the VSB : Technical University of Ostrava |
author_facet |
Petr DOLEŽEL Jan MAREŠ |
author_sort |
Petr DOLEŽEL |
title |
Discrete PID Tuning Using Artificial Intelligence Techniques |
title_short |
Discrete PID Tuning Using Artificial Intelligence Techniques |
title_full |
Discrete PID Tuning Using Artificial Intelligence Techniques |
title_fullStr |
Discrete PID Tuning Using Artificial Intelligence Techniques |
title_full_unstemmed |
Discrete PID Tuning Using Artificial Intelligence Techniques |
title_sort |
discrete pid tuning using artificial intelligence techniques |
publisher |
VSB-Technical University of Ostrava |
series |
Transactions of the VSB : Technical University of Ostrava |
issn |
1210-0471 1804-0993 |
publishDate |
2009-06-01 |
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. |
url |
http://transactions.fs.vsb.cz/2009-2/1685_DOLEZEL_MARES.pdf |
work_keys_str_mv |
AT petrdolezel discretepidtuningusingartificialintelligencetechniques AT janmares discretepidtuningusingartificialintelligencetechniques |
_version_ |
1725519085829095424 |