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

被引：61

作者：

Jurado, F ^{[1
]}

Ortega, M ^{[1
]}

Cano, A ^{[1
]}

Carpio, J ^{[1
]}

机构：

[1] Univ Jaen, Dept Elect Engn, Jaen 23700, Spain

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2002年 / 60卷 / 03期

关键词：

neural network; fuzzy controller; turbine generator; modeling;

D O I：

10.1016/S0378-7796(01)00187-0

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：123 / 135

页数：13

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