US 12,411,464 B2
Controlling a technical system by data-based control model
Andrés Botero Halblaub, Kirchseeon (DE); Tim Schenk, Landshut (DE); Till Heinzerling, Stutensee (DE); and Harald Held, Bockhorn (DE)
Assigned to Siemens Industry Software NV, Leuven (BE)
Appl. No. 18/015,747
Filed by Siemens Industry Software NV, Leuven (BE)
PCT Filed Jul. 29, 2020, PCT No. PCT/EP2020/071372
§ 371(c)(1), (2) Date Jan. 12, 2023,
PCT Pub. No. WO2022/022816, PCT Pub. Date Feb. 3, 2022.
Prior Publication US 2023/0221686 A1, Jul. 13, 2023
Int. Cl. G05B 13/04 (2006.01)
CPC G05B 13/048 (2013.01) 8 Claims
OG exemplary drawing
 
1. A computer-implemented method for configuring a controller to control a technical system, comprising:
a) reading in a model-predictive control model for the controller, wherein the model-predictive control model is configured to output optimized control parameters for controlling the technical system as output data, depending on simulated or measured state data of the technical system, wherein the model-predictive control model is configured on the basis of a model-predictive control method;
b) reading in a data-based control model;
c) adjusting configuration parameters of the data-based control model using the model-predictive control model in such a way that the data-based control model reproduces the output data of the model-predictive control model depending on state data of the technical system to determine optimized control parameters, wherein the configuration parameters of the data-based control model are set by mapping an internal structure of the model-predictive control model onto an internal structure of the data-based control model;
and
d) outputting to the controller the data-based control model configured in this way to control the technical system.