Filling Control of a Conical Tank Using a Compact Neuro-Fuzzy Adaptive Control System

Autor: Helbert Espitia-Cuchango, Iván Machón-González, Hilario López-García
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Complexity, Vol 2022 (2022)
Druh dokumentu: article
ISSN: 1099-0526
05483875
DOI: 10.1155/2022/4284378
Popis: This document describes the implementation of a conical tank control system using an adaptive neurofuzzy system. For implementation, an indirect approach is used where the controller is optimized using the model obtained during the plant identification carried out using data obtained during the system operation. Furthermore, implementation includes training of neuro fuzzy-systems and application to control a conical tank. Regarding plant identification, preliminary training takes place using data obtained for different input values. The controller configuration is established considering the analogy with a discrete-time linear system. The simulation shows that the control system manages to approach the desired response given by the considered reference model.
Databáze: Directory of Open Access Journals
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