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 :
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