Abstract

This paper presents the design of a neurocontroller for a turbogenerator that augments/replaces the conventional automatic voltage regulator and the turbine governor. The neurocontroller uses a novel technique based on the adaptive critic designs with emphasis on heuristic dynamic programming (HDP) and dual heuristic programming (DHP). Results are presented to show that the DHP based neurocontroller is robust and performs better than the HDP based neurocontroller, as well as the conventional controller, especially when the system conditions and configuration changes.

Meeting Name

IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000. IJCNN 2000

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Adaptive Critics; Backpropagation; Dual Heuristic Programming; Dynamic Programming; Heuristic Dynamic Programming; Heuristic Programming; Machine Control; Neural Nets; Neurocontroller; Neurocontrollers; Turbogenerator; Turbogenerators; Voltage Control

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.

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