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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