A fuzzy-PID series feedback self-tuned adaptive control of reactor power using nonlinear multipoint kinetic model under reference tracking and disturbance rejection

Abstract

In this work, a series feedback combination of fuzzy and PID controllers is designed to resolve the reactor power control problem for VVER-1000 PWR.A nonlinear multipoint kinetic model based on neutron diffusion, thermal hydraulics, spatial neutronics and poison effect developed for dynamic simulation with three groups of delayed neutrons. PID controller design is accompanied with the variable gains depending upon the reactor power level and error power concerning a defined reference value. Piece-wise linearity and curve fitting is used to find a linear variation of gainsand incorporated in the fuzzy control design.The optimum values of PID gains are based on the Matlab Tools,desired performance indices of response andthe critical limitations of control output for accommodating the actuator motorboundaries. The proposed fuzzy-PID adaptive control model found preferable in load tracking application and disturbance rejection conditions in comparison with PID and fuzzy controllers in standalone configuration.