Abstract

The design and testing of a fuzzy rule based controller to regulate the power of a TRIGA Mark III research nuclear reactor are presented. The design does not require the current exact parameters of the point kinetic equations of the reactor. Instead, from a qualitative analysis of the actions taken by the operators during the reactor’s operation, a set of control rules is derived. The rules cover the operation of the reactor from low levels of about dozens of watts up to its full power level of one megawatt. The controller is able to increase power from different initial values to a wide range of desired levels, maintaining constant levels for long periods of time. The controller’s output is the external reactivity, which is further converted to a control rod incremental movement. The fuzzy controller is implemented on the reactor’s digital operating console, and the results of a series of experiments are discussed.

Highlights

  • Fuzzy logic has its earliest roots in ancient Greece where Aristotle introduced the classical laws of thought

  • That the power response obtained with the fuzzy controller is very close to that obtained with the PID controller. This is an indication that the performance parameter values obtained with the PID can be obtained with the fuzzy controller

  • And 12, it can be appreciated that the power response obtained with the fuzzy controller is very close to that obtained with the PID controller

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Summary

Introduction

Fuzzy logic has its earliest roots in ancient Greece where Aristotle introduced the classical laws of thought. Most of the work on power control of nuclear reactors using fuzzy logic shows, through computer simulations, the feasibility of its implementation [10, 11]. The output of the PID algorithm is a command sent to the Control Rod System to adjust the position of the Regulation Rod until the demanded level of power is attained. In this control module, the rate of power increase is limited to reduce the possibility of having reactor period values below 7 seconds, which is a design specification for this type of reactor.

Fuzzy Controller for the TRIGA Mark III Reactor
Fuzzy Sets Associated to the Inputs and Output of the FRBS
A B CD E
Qualitative Analysis of Operator’s Actions and Fuzzy Rules
Aggregation and Defuzzification
Reactivity to Rod Position Conversion
Controller Flowchart
Performance Tests
Conclusions
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