Title :
Learning of a backpropagation neural network to tune a fuzzy control of a thermal system
Author :
Urbieta Parrazales, R. ; Ramirez, Marco A. ; Osvaldo Espinosa, S. ; Elena Aguilar, J. ; De Luca, Adriano
Author_Institution :
Centro de Investigacion en Comput., Mexico
Abstract :
This regular paper describes three important aspects: design, simulation and implementation of neuro-fuzzy control applied to the temperature variable of a thermal system with a range of 25°C to 75°C and resolution of 0.01%. In the design were found the membership functions and the fuzzy rules base already optimized of the fuzzy controller by means of a backpropagation neural network trained to 120 learning cycles. The simulation presents basic tables of the fuzzy controller obtained by the neural network. The implementation of the program of the fuzzy controller was effected using a 486 PC with conversion card A/D and of 8-bit port output
Keywords :
backpropagation; fuzzy control; neurocontrollers; process control; temperature control; 25 to 75 degC; backpropagation neural network; conversion card A/D; fuzzy rules base; learning cycles; membership functions; neuro-fuzzy control; process control; temperature variable; thermal system; Backpropagation; Digital relays; Error correction; Fuzzy control; Fuzzy logic; Neural networks; Temperature control; Temperature distribution; Temperature measurement; Temperature sensors;
Conference_Titel :
Mixed-Signal Design, 2000. SSMSD. 2000 Southwest Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-5975-5
DOI :
10.1109/SSMSD.2000.836470
