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.
Recommended Citation
G. K. Venayagamoorthy and R. G. Harley, "A Robust Artificial Neural Network Controller for a Turbogenerator When Line Configuration Changes," Proceedings of IEEE Africon, 1999, Institute of Electrical and Electronics Engineers (IEEE), Jan 1999.
The definitive version is available at https://doi.org/10.1109/AFRCON.1999.821892
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.
Publication Date
01 Jan 1999
