Implementation of an MRACnn System on an FBR Building Block Type Simulator

Ugolini; Yoshikawa, Shinji; Ozawa, Kenji

PNC TN9410 95-253, 13 Pages, 1995/10

PNC-TN9410-95-253.pdf:0.5MB

This report presents the implementation of the a model reference adaptive control system based on the artificial neural network technique (MRAC) in a fast breeder reactor (FBR) building block type (BBT) simulator representing the Monju prototype reactor. The purpose of this report is to improve the control of the outlet steam temperature of the three evaporators of the Monju prototype reactor. The connection between the MRAC system and the BBT simulator is achieved through an external shared memory accessible by both systems. The MRAC system calculates the demand for the position of the feedwater valve replacing the signal of a PID controller collocated inside the heat transport system model of the Monju prototype reactor. Two series of simulation tests havc been performed, one with one loop connected to the MRAC system (leaving the remaining two connected to the original PID controller), and the other with three loops connected to the MRAC system. In both simulation tests the MRAC system performed better than the PID controller, keeping the outlet steam temperature of the evaporators closer to the required set point value through all the transients.