Predictor corrector controller using Wiener fuzzy convolution model

J. Abonyi, Á Bódizs, L. Nagy, F. Szeifert

Research output: Contribution to journalArticle

Abstract

This paper investigates the application of hybrid fuzzy models in modelling and model based predictive control of a delayed and distributed parameter system with a non-linear feature. The presented hybrid fuzzy convolution model consists of a non-linear fuzzy steady-state model and an impulse response model based dynamic part. The proposed non-linear block-oriented dynamic model is applied to form a predictor corrector controller. The control of a laboratory-sized heating system is chosen as a realistic non-linear case study for the demonstration of the control algorithm. The proposed model based controller is shown capable of controlling the non-linear process that operates over wide range.

Original languageEnglish
Pages (from-to)227-233
Number of pages7
JournalHungarian Journal of Industrial Chemistry
Volume27
Issue number3
Publication statusPublished - 1999

Fingerprint

Convolution
Controllers
Impulse response
Dynamic models
Demonstrations
Heating

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)
  • Chemistry (miscellaneous)

Cite this

Predictor corrector controller using Wiener fuzzy convolution model. / Abonyi, J.; Bódizs, Á; Nagy, L.; Szeifert, F.

In: Hungarian Journal of Industrial Chemistry, Vol. 27, No. 3, 1999, p. 227-233.

Research output: Contribution to journalArticle

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