Study of Multivariable PID Neural Network Control for the Compression Station of Large-Scale Helium Refrigerator

With the fast development of superconducting, nuclear-energy and high-energy physics, further requirement of the system of large-scale helium refrigeration is brought forward by some associated subjects. The present controlling system of the system abovementioned is not well able to deal with the interruption such as the heat pulse impact. Thus, it leads to a new challenge that must be confronted with by the system of large-scale helium refrigeration.This paper aims at the control of gas management panel (GMP) in compression station of large-scale helium refrigerator. The neural network PID control of GMP in the system is introduced and simulated.