Abstract
Turbogenerators are nonlinear time varying systems. This paper presents 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 neurocontroller 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.
Recommended Citation
G. K. Venayagamoorthy et al., "Adaptive Critic Based Neurocontroller for Turbogenerators with Global Dual Heuristic Programming," Proceedings of the IEEE Power Engineering Society Winter Meeting, 2000, Institute of Electrical and Electronics Engineers (IEEE), Jan 2000.
The definitive version is available at https://doi.org/10.1109/PESW.2000.849974
Meeting Name
IEEE Power Engineering Society Winter Meeting, 2000
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Adaptive Control; Adaptive Critic Based Neurocontroller; Adaptive Critic Designs; Automatic Voltage Regulator; Control Design; Control Performance; Control Simulation; Control System Analysis; Control System Synthesis; Global Dual Heuristic Programming; Heuristic Programming; Machine Control; Machine Theory; Neurocontrollers; Nonlinear Control Systems; Nonlinear Time Varying Systems; Robust Control; Robustness; Time-Varying Systems; Turbine Governor; Turbogenerators
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2000
