In modern industrial applications, sensors are an expensive part of installed
systems. Nevertheless, many system variables cannot be measured sufficiently
frequently or accurately. Thus, soft sensors have been developed to
estimate those variables without the expense of additional hardware. The
use of a soft sensor with a bias update term has shown to perform well for
disturbed systems with time delays and multirate sampling times. In industrial
application, the time delay and sampling times often vary. Yet, the case
of variation of the time delay and sampling time in the bias update term
has not been considered in previous publications. This thesis tests a soft
sensor with bias update term in simulation and gives a modification yielding
better performance. It is shown that the tested method gives unstable results.
Hence, a more general method with a bias update term that considers
all possible sampling times in each step is proposed, giving stable results in
simulation. Furthermore, the stability of the general method is proven
mathematically by building a state space representation and applying the
Bauer-Premaratne-Dur´an theorem to the stability of switching systems. / Tesis
| Identifer | oai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:123456789/13438 |
| Date | 08 February 2019 |
| Creators | Griesing-Scheiwe, Fritjof |
| Contributors | Shardt, Yuri |
| Publisher | Pontificia Universidad Católica del Perú |
| Source Sets | Pontificia Universidad Católica del Perú |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | Pontificia Universidad Católica del Perú, Repositorio de Tesis - PUCP |
| Rights | info:eu-repo/semantics/openAccess, Atribución-CompartirIgual 2.5 Perú, http://creativecommons.org/licenses/by-sa/2.5/pe/ |
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