Adaptive Neuro-Fuzzy Controller for High Temperature Gas Cooled Reactor
Kushal Dinkar Badgujar1, Woldesemayat Muluneh Lemma2
1Kushal Dinkar Badgujar, Division of Advanced Nuclear Engineering, Pohang University of Science and Technology, Pohang, South Korea, Korea.
2Woldesemayat Muluneh Lemma, Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea, Korea.
Manuscript received on February 21, 2015. | Revised Manuscript received on February 27, 2015. | Manuscript published on March 05, 2015. | PP: 69-75 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2532035115/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: A Neuro-Fuzzy controller is applied to control the power of a high temperature pebble bed reactor (HTPBR). A simplified model of the reactor and lumped model of heat transfer is developed and used. Xenon feedback with Xenon and Iodine balance equations and feedback with power coefficient of reactivity are included. The inputs to controller are represented using seven fuzzy sets. The output is obtained as linear combinations of the inputs. Simulations were conducted for the case of reducing the reactor power from rated value at 100% to 20% and for the case of raising reactor power from 20% to 100% linearly. In these simulations, the proposed design for controller exhibits faster and more accurate response than conventional controller.
Keywords: ANFIS controller, Fuzzy logic, GEN IV reactors, Reactor power control.