Fuzzy logic controller for nuclear power plant

Abstract

The design and evaluation by simulation of an automatically-tuned fuzzy logic controller is presented. A method to automate the tuning process using a simplified Kalman filter approach is presented for the fuzzy logic controller to track a suitable reference trajectory. An optimal controller's response is used as a reference trajectory to determine automatically the rules for the fuzzy logic controller. To demonstrate the robustness of this design approach, a nonlinear six delayed neutron group plant is controlled using a fuzzy logic controller that utilizes estimated reactor temperatures from a one delayed neutron group observer. The fuzzy logic controller displayed good stability and performance robustness characteristics for a wide range of operation.<>