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.

Meeting Name

IEEE Power Engineering Society Winter Meeting, 2000


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





© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2000