DocumentCode
2381390
Title
Neuro-fuzzy architecture in a batch reactor temperature control system
Author
Cuéllar, Enrique Sánchez ; Coronado, Juán López ; Moreno, Celiano García ; Izquierdo, José Manuel Cano
Author_Institution
Sch. of Ind. Eng., Valladolid Univ., Spain
fYear
1994
fDate
16-18 Aug 1994
Firstpage
11
Lastpage
15
Abstract
Temperature control of an exothermic batch reaction using neural nets is studied here. The energy balance given by the prediction of neural-fuzzy net is used in the derivation of the control algorithm. The comparison with a classic controller indicates improvements in the control of these highly nonlinear batch and semibatch chemical processes
Keywords
batch processing (industrial); chemical technology; fuzzy control; fuzzy neural nets; nonlinear control systems; process control; temperature control; batch reactor temperature control system; energy balance; exothermic batch reaction; neural nets; neural-fuzzy net; neuro-fuzzy architecture; nonlinear batch processes; semibatch chemical processes; Accidents; Automatic control; Control systems; Equations; Inductors; Neural networks; Polymers; Power engineering and energy; Steady-state; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1994., Proceedings of the 1994 IEEE International Symposium on
Conference_Location
Columbus, OH
ISSN
2158-9860
Print_ISBN
0-7803-1990-7
Type
conf
DOI
10.1109/ISIC.1994.367849
Filename
367849
Link To Document