Controller for controlling a technical system, and method for configuring the controller

US12259695B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Daniel Hein · Berlin, DE
• Holger Schöner · Munich, DE
• Marc Christian Weber · Munich, DE

Key dates

• Filing date: Dec 1, 2020
• Grant date: Mar 25, 2025
• Expiry date: Mar 3, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B13/048
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A controller for a technical system is trained using a machine learning method. For this purpose, a chronological sequence of training data is detected for the machine learning method, the training data including both state data as well as control action data of the technical system. A change in the control action data over time is detected specifically and correlated with changes in the state data over time within different time windows, wherein a time window-specific correlation value is ascertained in each case. A resulting time window is then ascertained on the basis of the ascertained correlation values, and the training data which is found within the resulting time window is extracted in a time window-specific manner. The controller is trained by means of the machine learning method using the extracted training data and thereby configured to control the technical system.