Method for determining and or monitoring at least one parameter in automation technology

Patent metadata

Field	Value
Publication number	US-9971855-B2
Application number	US-201314652702-A
Country	US
Kind code	B2
Filing date	Dec 6, 2013
Priority date	Dec 21, 2012
Publication date	May 15, 2018
Grant date	May 15, 2018

Abstract

A method for determining and or monitoring at least one process- and/or system specific parameter in automation technology. An oscillatable system is provided, which interacts with a medium located in a container, wherein the oscillatable system is excited to oscillate via a real input signal, wherein the real output signal of the oscillatable system is ascertained, wherein the real output signal is digitized and a real output sequence yu(k) is produced. The real input signal is digitized and a digital input sequence (u(k)) is produced, wherein the digital input sequence (u(k)) is fed to a function block (model), which provides at least one mathematical model of the oscillatable system in interaction with the medium. The mathematical model is defined by a number of process- and/or system specific parameters, wherein via the mathematical model a virtual output sequence (ym(k)) is produced, wherein the virtual output sequence ym(k) is compared with the real output sequence yu(k). In the case of a deviation, at least one process- and/or system specific parameter of the mathematical model is adaptively changed, until the deviation between the virtual output signal and the real output signal of the oscillatable unit lies within a predetermined tolerance range and wherein at least one of the process- and/or system specific parameters is provided.

First claim

The invention claimed is:

1. A method for determining and or monitoring at least one process- and/or system specific parameter of an oscillatable system of a vibronic sensor in automation technology, which oscillatable system interacts at least at times with a medium located in a container, the method comprising method steps as follows:
exciting the oscillatable system to oscillate via a real input signal;
ascertaining the real output signal of the oscillatable system;
producing a digitized real output signal and a real output sequence (yu(k));
producing a digitized real input signal and a digital input sequence (u(k));
feeding the digital input sequence (u(k)) to a function block (model), which provides at least one mathematical model, which describes the oscillatory behavior of the oscillatable system in interaction with the medium, wherein the mathematical model is defined by a multitude of process- and/or system specific parameters;
producing a virtual output sequence (ym(k)) via the mathematical model;
comparing the virtual output sequence (ym(k)) with the real output sequence (yu(k));
in the case of a deviation (e(k)), between the virtual output sequence (ym(k)) and the real output sequence (yu)k)) of the oscillatable unit, at least one process- and/or system specific parameter of the mathematical model is adaptively changed, until said deviation lies within a predetermined tolerance range; and
at least one of the process- and/or system specific parameters is provided.

2. The method as claimed in claim 1 , wherein:
a quality criterion (V) is ascertained, which describes the quality of the virtual output signal relative to the real output signal based on the output sequence (yu(k), ym(k)) of the oscillatable system; and
at least one of the process- or system specific parameters is provided, as soon as the quality criterion (V) lies in the predetermined tolerance range of a predetermined desired value for the quality criterion (V).

3. The method as claimed in claim 1 , wherein:
the changing of the process- and/or system specific parameter is performed via an adaptation algorithm, which varies the process- and/or system specific parameter until the deviation between the virtual output signal and the real output signal, respectively the ascertained quality criterion (V) and the predetermined quality criterion (V), lies in the predetermined tolerance range and the deviation reaches preferably a minimum.

4. The method as claimed in claim 1 , wherein:
used as mathematical model, in which the oscillatable system is described as a linear or non-linear system, is a description of the oscillatable system in a state space.

5. The method as claimed in claim 4 , wherein:
used as method for describing the oscillatable system in the state space is the extended Kalman filter, the unscented Kalman filter or a subspace method.

6. The method as claimed in claim 1 , wherein:
applied as mathematical model, in which the oscillatable system is described as a linear system, is preferably a parameter estimation method, which describes the relationship between the input signal and the output signal using transfer functions or transfer matrices.

7. The method as claimed in claim 6 , wherein:
used as parameter estimation method is preferably the method of least squares, the generalized LS method, the RLS method, the method of auxiliary variables or the method of maximum probability.

8. The method as claimed in claim 1 , wherein:
determined as process- and/or system specific parameter(s) are/is temperature, viscosity and/or density of the medium and/or fill level of the medium in a container.

Assignees

• Endress Hauser Gmbh Co Kg

Inventors

• Brengartner Tobias
• Bechtel Gerd
• Siegel Michael

Classifications

• G06F17/10

  Complex mathematical operations {(function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544)} · CPC title

• G05B13/042 Primary

  in which a parameter or coefficient is automatically adjusted to optimise the performance · CPC title

• G06F2111/10

  Numerical modelling · CPC title

• G06F30/20 Primary

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G06F17/5009 Primary

  Physics · mapped topic