DocumentCode :
1872791
Title :
Neuro-fuzzy controller in biomass-based electric power plant
Author :
Jurado, Francisco ; Lopez, A. ; Saenz, José Ramón
Author_Institution :
Dept. of Electr. Eng., Univ. of Jaen, Spain
Volume :
2
fYear :
2001
fDate :
2001
Abstract :
Biomass gasification is a technology that transforms solid biomass into gas. The gas motor controller regulates both the gas motor and the gas motor generator. In this paper two fuzzy logic controllers have been developed using speed and mechanical power deviations, and a neural network has been designed to tune the gains of the fuzzy logic controllers based on the operating conditions of the biomass-based electric power plant
Keywords :
bioenergy conversion; fuzzy control; gas turbines; intelligent control; neurocontrollers; power station control; biomass gasification; biomass-based electric power plant; controller gains tuning; fuzzy logic controllers; gas motor controller; gas motor generator; gas motor regulation; intelligent control; mechanical power deviations; neuro-fuzzy controller; speed deviations; Actuators; Delay; Diesel engines; Fuels; Fuzzy logic; Ignition; Internal combustion engines; Neural networks; Temperature; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech Proceedings, 2001 IEEE Porto
Conference_Location :
Porto
Print_ISBN :
0-7803-7139-9
Type :
conf
DOI :
10.1109/PTC.2001.964790
Filename :
964790
Link To Document :
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