Neuro-fuzzy controller for gas turbine in biomass-based electric power plant

Abstract:

Biomass gasification is a technology that transforms solid biomass into syngas. The gas turbine controller regulates both the gas turbine and the gas turbine generator. 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. It is shown that by tuning the fuzzy logic controllers, optimal time domain performance of the system can be achieved in a wide range of operating conditions compared to fixed parameter fuzzy logic controllers and PID controllers. © 2002 Elsevier Science B.V. All rights reserved.

Año de publicación:

2002

Keywords:

• Turbine generator
• Fuzzy controller
• Modeling
• neural network

Fuente:

scopus