Introduction to the theory of neural computation
Introduction to the theory of neural computation
Controlling the power output of a nuclear reactor with fuzzy logic
Information Sciences: an International Journal
Neuro-Control and Its Applications
Neuro-Control and Its Applications
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Soft computing technique for power control of Triga Mark-II reactor
Expert Systems with Applications: An International Journal
A trajectory tracking FLC tuned with PSO for triga mark-II nuclear research reactor
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Hi-index | 12.06 |
In this study, an expert trajectory was proposed for control of nuclear research reactors. The trajectory being followed by the reactor power is composed of three parts. In order to calculate periods at the midpoint of each part of the trajectory, a period generator was designed based on artificial neural networks. The contribution of the expert trajectory to the reactor control system was investigated. Furthermore, the behavior of the controller with the expert trajectory was tested for various initial and desired power levels, as well as under disturbance. It was seen that the controller could control the system successfully under all conditions within the acceptable error tolerance.