DocumentCode
2314632
Title
Comparison of a heuristic dynamic programming and a dual heuristic programming based adaptive critics neurocontroller for a turbogenerator
Author
Venayagamoorthy, Ganesh K. ; Harley, Ronald G. ; Wunsch, Donald C., II
Author_Institution
Sch. of Electr. & Electron. Eng., Natal Univ., Durban, South Africa
Volume
3
fYear
2000
fDate
2000
Firstpage
233
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
Keywords
backpropagation; dynamic programming; heuristic programming; machine control; neurocontrollers; turbogenerators; voltage control; adaptive critics; backpropagation; dual heuristic programming; heuristic dynamic programming; neural nets; neurocontroller; turbogenerator; voltage control; Artificial neural networks; Control systems; Design engineering; Dynamic programming; MIMO; Multi-layer neural network; Neural networks; Neurocontrollers; Optimal control; Turbogenerators;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.861309
Filename
861309
Link To Document