Adaptive critic based neurocontroller for turbogenerators with global dual heuristic programming

被引：0

作者：

Venayagamoorthy, GK ^{[1
]}

Wunsch, DC ^{[1
]}

Harley, RG ^{[1
]}

机构：

[1] ML Sultan Technikon, Dept Elect Engn, ZA-4000 Durban, South Africa

来源：

2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS | 2000年

关键词：

artificial neural networks; power plant control; Adaptive Critic Designs;

D O I：

暂无

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：

Turbogenerators are nonlinear time varying systems. This paper will present the design of a neurocontroller for such a turbogenerator that augments/replaces the traditional Automatic Voltage Regulator (AVR) and the turbine governor using a novel technique based on the Adaptive Critic Designs (ACDs) with emphasis on Global Dual Heuristic Programming (GDHP). Simulation results are presented to show that the neuro-controller derived with the GDHP approach is robust and its performance is better when compared with that derived with other neural network technique, especially when system conditions and configuration changes.

引用

页码：291 / 294

页数：4

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