The Large Hadron Collider (LHC) is the 
next large particle accelerator developed at CERN, constructed to enable
 studies of particles. The acceleration of the particles is carried out 
using magnets operating at about 1.9 K, a temperature achieved by 
regulating flow of superfluid helium. For 
economical reasons, control of the helium flow is based on feedback of 
virtual flow meter (VFT) estimates instead of real instrumentation.
The main purpose of this work is to 
develop a virtual flow meter with the possibility to estimate the flow 
by means of two different flow estimation methods; the Samson method 
that has previously been tested for the LHC, and the Sereg-Schlumberger 
method that has never before been implemented in this environment.
The virtual flow meters are implemented 
on PLCs using temperature and pressure measurements as input data, and a
 tool for generating the virtual flow meters and connect them to the 
appropriate physical instrumentation has also been developed.
The flow through a valve depends, among 
others, on some pressure and temperature dependent physical properties 
that are to be estimated with high accuracy. In this project, this is 
done by bi linear interpolation in two dimensional tables containing 
physical data, an approach that turned out to be more accurate than the 
previously used method with polynomial interpolation.
The flow measurement methods have been 
compared. Since they both derive from empirical studies rather than 
physical relations it is quite futile to find theoretical 
correspondencies, but the simulations of the mass flows can be compared.
 For low pressures, the results are fairly equal but they differ more 
for higher pressures. The methods have not been validated against true 
flow rates since there were no real measurements available before the 
end of this project.
Source: Linköping University
Author: Ödlund, Erika
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