PSD Controller Tuning Using Artificial Intelligence Techniques
P. Doležel, I. Taufer
University of Pardubice
Abstract
There is described new method of PSD controller tuning in this paper. This method tunes PSD 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 comparison to one chosen conventional control technique.
Full paper
Session
Linear and Non-linear Control System Design (Poster)
Reference
Doležel, P., Taufer, I.: PSD Controller Tuning Using Artificial Intelligence Techniques. Editors: Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Štrbské Pleso, Slovakia, 120–124, 2009
BibTeX
| @inProceedings{pc09-007, | ||
| author | = { | Doležel, P. and Taufer, I.}, |
| title | = { | PSD Controller Tuning Using Artificial Intelligence Techniques}, |
| booktitle | = { | Proceedings of the 17th International Conference on Process Control '09}, |
| year | = { | 2009}, |
| pages | = { | 120-124}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | Štrbské Pleso, Slovakia}, |
| publisher | = { | Slovak University of Technology in Bratislava}, |
| url | = { | http://www.kirp.chtf.stuba.sk/pc09/data/papers/007.pdf}} |