Controlling Reactor Power of CARR with Fuzzy Logic Controller

DOI

10.2991/iske.2007.255How to use a DOI?

Keywords

Fuzzy controller, simulation, CARR

Abstract

To demonstrate the applicability and feasibility of AI technology in nuclear fields in China, a fuzzy controller to control the reactor power of China Advanced Research Reactor (CARR) is designed in this paper. The fuzzy controller uses Mamdani inference system based 2 inputs-power difference and power period, 1 output- velocity of control rods. To evaluate the performance of the fuzzy controller, the simulation models of the closed-loop system are set up based on SIMULINK flat. Simulations of 4 transients are computed, which are reactor starting from subcriticality to low reactor power, reactor power increasing from low power to full power, reactor decreasing from full power to low power, and transient under step reactivity disturb. Simulations result show good performance of the fuzzy controller in these 4 transients.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hai Zeng
PY  - 2007/10
DA  - 2007/10
TI  - Controlling Reactor Power of CARR with Fuzzy Logic Controller
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1493
EP  - 1500
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.255
DO  - 10.2991/iske.2007.255
ID  - Zeng2007/10
ER  -