IP Library Granted Patent US 12,265,375
Granted Patent B2
US 12,265,375 · App. 17/910,904 · Granted Apr 1, 2025

Manufacturing or controlling a technical system using an optimized parameter set

Inventors: Harald Held (Bockhorn, DE); Denis Smirnov (Munich, DE); Sanjeev Srivastava (Chantilly, VA); Wei Xia (Raritan, NJ); Yayun Zhou (Munich, DE)
Assignee: SIEMENS AKTIENGESELLSCHAFT
G05B19/4155G05B2219/31368
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Quick Facts
Patent No.
US 12,265,375
App. No.
17/910,904
Granted
Apr 1, 2025
Kind
B2
Abstract

A computer-implemented method for manufacturing or controlling a technical system includes the method steps: (a) inputting a sample of parameter sets suitable for manufacturing or controlling the technical system, with a feasibility identifier assigned to each of the parameter sets, wherein the feasibility identifier marks each parameter set either as technically feasible or technically non-feasible or erroneous in terms of manufacturing or controlling the technical system, (b) generating a computerized surrogate model for the technical system based on the respective parameter sets of the sample, which are marked as technically feasible, by means of a regression method, (c) determining an optimized parameter set based on the surrogate model by means of a computerized optimization method, and (d) outputting the optimized parameter set for manufacturing or controlling the technical system.

Claims (19)

1. A computer-implemented method for manufacturing or controlling a technical system, the method comprising:

(a) inputting a sample of parameter sets suitable for manufacturing or controlling the technical system, with a feasibility identifier assigned to each of the parameter sets, wherein the feasibility identifier marks each parameter set either as technically feasible, if the parameter set meets given system criteria of the technical system, or technically non-feasible, if the parameter set does not meet the given system criteria, or erroneous, if an evaluation of the parameter set using a computerized simulation results in an error, in terms of manufacturing or controlling the technical system;

(b) generating a computerized surrogate model for the technical system based on the respective parameter sets of the sample, which are marked as technically feasible, but not on erroneous and not on non-feasible parameter sets, by means of a regression method;

(c) determining an optimized parameter set based on the surrogate model by means of a computerized optimization method; and

(d) outputting the optimized parameter set for manufacturing or controlling the technical system.

2. The computer-implemented method according to claim 1 , wherein a feasibility identifier of the optimized parameter set is determined by means of a computerized evaluation method.

3. The computer-implemented method according to claim 1 , wherein the optimized parameter set is determined by means of the computerized optimization method and depending on the feasibility identifier of the optimized parameter set.

4. The computer-implemented method according to claim 1 , wherein the optimized parameter set is added to the sample of parameter sets and the method steps (b) to (d) are repeated.

5. The computer-implemented method according to claim 1 , wherein the inputted sample of parameter sets is generated and outputted by means of a second computerized optimization method which is configured to determine at least one parameter set suitable for manufacturing or controlling the technical system.

6. The computer-implemented method according to claim 1 , wherein the regression method is an incremental local Gaussian regression method.

7. The computer-implemented method according to claim 1 , wherein the technical system is manufactured or controlled using the outputted optimized parameter set.

8. An apparatus for manufacturing or controlling a technical system, the system comprising:

(a) an input unit configured to input a sample of parameter sets suitable for manufacturing or controlling the technical system, with a feasibility identifier assigned to each of the parameter sets, wherein the feasibility identifier marks each parameter set either as technically feasible, if the parameter set meets given system criteria of the technical system, or technically non-feasible, if the parameter set does not meet the given system criteria, or erroneous, if an evaluation of the parameter set using a computerized simulation results in an error, in terms manufacturing or controlling the technical system;

(b) a generator configured to generate a computerized surrogate model for the technical system based on the parameter sets, which are marked as technically feasible, but not on erroneous and not on non-feasible parameter sets, by means of a regression method;

(c) an optimizer configured to determine an optimized parameter set based on the generated surrogate model by means of a computerized optimization method; and

(d) an output unit configured to output the optimized parameter set for manufacturing or controlling the technical system.

9. The apparatus according to claim 8 comprising a manufacturing unit configured to manufacture the technical system using the outputted optimized parameter set.

10. The apparatus according to claim 8 comprising a control unit configured to control the technical system using the outputted optimized parameter set.

11. A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said program code executable by a processor of a computer system to implement a method of claim 1 when the computer program product is run on a computer.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 22, 2024
From: SRIVASTAVA, SANJEEV; XIA, WEI
To: SIEMENS CORPORATION
Reel/Frame 068654/0791 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 22, 2024
From: SIEMENS CORPORATION
To: SIEMENS AKTIENGESELLSCHAFT
Reel/Frame 068654/0820 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 9, 2023
From: HELD, HARALD; SMIRNOV, DENIS; ZHOU, YAYUN
To: SIEMENS AKTIENGESELLSCHAFT
Reel/Frame 063574/0361 →
Priority Claims (1)
EP 20164244 · Mar 19, 2020 · regional
Continuity (1)
Related Publication 20230161325A1 · May 25, 2023
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