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.
| Original language | American English |
|---|---|
| Journal | Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000. IJCNN 2000 |
| DOIs | |
| State | Published - Jan 1 2000 |
Keywords
- Adaptive Critics
- Backpropagation
- Dual Heuristic Programming
- Dynamic Programming
- Heuristic Dynamic Programming
- Heuristic Programming
- Machine Control
- Neural Nets
- Neurocontroller
- Neurocontrollers
- Turbogenerator
- Turbogenerators
- Voltage Control
Disciplines
- Electrical and Computer Engineering
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