[Back]

C. Lohninger, B. Voglauer, K. Matheis-Weiss, M. Kozek:
"Efficient modelling and control design for suppression of pressure oscillations in an industrial condensation process";
Talk: 22nd International Conference on System Theory, Control and Computing, Sinaia; 2018-10-10 - 2018-10-12; in: "Proceedings of the 22nd International Conference on System Theory, Control and Computing, ICSTCC 2018", (2018), 8 pages.

In this paper, a simple yet versatile modelling
approach for sinusoidal pressure oscillations in an industrial
multi-stage condensation system and different control schemes
for suppression are presented. The investigated condensation
system is embedded in an extensive extraction system and is
used to separate a hazardous substance out of a gas mixture.
The main problem is posed by unknown and unmeasured
process disturbances which may ultimately lead to pressure
peaks exceeding the ambient pressure. When an over-pressure
occurs the hazardous substance may escape, and a safety shutdown
is triggered. A surrogate model, based on observations
and the physical motivation that a gas flow contains kinetic
and potential energy, is developed. The model is then based
on the momentum and the ideal gas equation. The validation
shows a good agreement with measurements in the time and
frequency domain. To suppress the oscillations and guarantee an
under-pressure in the system a linear output feedback controller,
an adaptive algorithm for rejection of sinusoidal disturbances
and a LQR-Controller with integration of the control error are
compared. The simulation shows that the readily implementable
linear output feedback control scheme sufficiently suppresses the
oscillations and safely keeps the pressure in the under-pressure
range.

Chemical process plant, pressure control, disturbance rejection