Fuzzy Adaptive Multimodel Based Enhanced PID Controller With Kick Elimination for Smooth Power Control of Pressurized Water Reactor

This paper aims at design of Enhanced PID (PIDE) controller that eliminates kick based on adaptive fuzzy scheme for the higher order point -kinetic model of the pressurized water reactor (PWR) to assure stable smooth power operations under load following operating conditions, sudden external disturbances and model uncertainties. The dynamics of PWR type of nuclear reactor is significantly changing with power levels, hence fixed weighted multi-modelbased gain scheduled PID controller (FW -GSPID) and adaptive fuzzy based gain scheduled enhanced PID controller (AF-GSPIDE) are proposed with appropriately identified input variables to accommodate the scheduling of controller parameter as function of power level with ability to reject the kicks expected in the control signal. In order to regulate the reactor core power, the reactor model is linearized and the PID controller parameters are optimally tuned for different power levels with these multi-models. Most of the reported works on fuzzy based control schemes uses error and change in error as input variables for the controller design whereas the novelty in the proposed AF-GSPIDE is that the controller parameters K
P
, K
I
and K
D
are tuned based on process variable i.e. neutron density (n
r
) and rate of change of process variable (dn
r
) to ensure the smooth control under sudden changes in the load disturbances and parameter variations. With proper choice of membership functions and formulation of rule base along with newly identified inputs, the simulation results shows the improved potential of the proposed scheme at different power levels in the presence of uncertainties and external disturbances.