Neuro-fuzzy estimator, with complexity reduction, of the temperatures of a parabolic-trough solar field

Autor:	J. M. Escaño, A. J. Sánchez, M. Ceballos, A. J. Gallego, E. F. Camacho
Jazyk:	Spanish; Castilian
Rok vydání:	2021
Předmět:	sistemas neuro borrosos análisis componentes principales funcionales estimacion espacio estados plantas solares cilidro-parabólica reducción complejidad Control engineering systems. Automatic machinery (General) TJ212-225
Zdroj:	Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 18, Iss 2, Pp 138-149 (2021)
Druh dokumentu:	article
ISSN:	1697-7912 1697-7920
DOI:	10.4995/riai.2020.13261
Popis:	The estimation of unobservable states of a process is important when state space control techniques are applied. These controllers assume that states values are known. When all the states are measurable, there is no need to apply any observer. The case of the solar trough plants using a distributed parameters model presents many state variables which cannot be measured with sensors. In this work an observer based on a fuzzy inference system to estimate the temperature profiles of the loops that make up the solar field is presented. A complexity reduction technique based on Functional Principal Analysis is applied to make the estimator realizable in practice without occupying much memory or spend so much time in its programming in industrial devices.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d5f56c5ac2384257a7f2528b4eda8ee5 Zobrazit plný text záznamu View record in DOAJ