Fuzzy Logic Autotuning Methods for Predictive Controller
J. Paulusová, M. Dúbravská
Slovak University of Technology in Bratislava
Abstract
In this paper a new method for predictive auto-tuning PID fuzzy logic controller is proposed, analyzed and tested. The paper contains theoretical as well as practical part and offers a new approach to control design and its successful application. Firstly, identification of a process model and design of a conventional PID is necessary to be done as a starting point. After that, the fuzzy engine is designed. The gain and phase margins are considered to be linguistic variables whose values are defined with respect to the same universe of discourse specified by human expertise about the operational knowledge of the process. It is assumed that the feedback system gain and phase margins are in prescribed ranges. To achieve the objective of predictive control, the fuzzy model has been used as the process behaviour predictor. The proposed predictive controller is used to control nonlinear process. The results show that the proposed algorithm is capable of an effective control.
Full paper
Session
Model Predictive Control (Poster)
Reference
Paulusová, J., Dúbravská, M.: Fuzzy Logic Autotuning Methods for Predictive Controller. Editors: Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Štrbské Pleso, Slovakia, 397–401, 2009
BibTeX
| @inProceedings{pc09-010, | ||
| author | = { | Paulusová, J. and Dúbravská, M.}, |
| title | = { | Fuzzy Logic Autotuning Methods for Predictive Controller}, |
| booktitle | = { | Proceedings of the 17th International Conference on Process Control '09}, |
| year | = { | 2009}, |
| pages | = { | 397-401}, |
| 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/010.pdf}} |