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.
Recommended Citation
G. K. Venayagamoorthy et al., "Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turbogenerator," Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000. IJCNN 2000, Institute of Electrical and Electronics Engineers (IEEE), Jan 2000.
The definitive version is available at https://doi.org/10.1109/IJCNN.2000.861309
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.
Publication Date
01 Jan 2000
