Abstract

This paper presents the design of a robust controller for a turbogenerator. The robust controller is an artificial neural network (ANN) that is trained offline on a family of ANN models of the turbogenerator. This ANN controller augments/replaces the traditional automatic voltage controller (AVR) and the turbine governor of the generator. Simulation results are presented to show that the ANN controller is robust when the transmission line configuration changes.

Meeting Name

IEEE Africon, 1999

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Control Simulation; Control System Analysis; Control System Synthesis; Learning (Artificial Intelligence); Machine Control; Machine Theory; Neurocontrollers; Offline Training; Robust Artificial Neural Network Controller; Robust Control; Robust Controller Design; Transmission Line Configuration Changes; Turbogenerator; Turbogenerators

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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