Control loop optimization
AssigneeSiemens Aktiengesellschaft
InventorsMaximilian Pfister, Benjamin Amschler
Life of this patent
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Abstract
A method of optimizing a control loop of a converter, such as a control system of the converter, includes acquiring actual values of a drive system powered by the converter, inferring, based on at least one machine learning model and the actual values, one or more adjustments of control parameters of the control loop for improving the control accuracy, and outputting the one or more adjustments for adapting control parameter values.
Claims18
A method of optimizing a control loop of a converter, the method comprising:
- acquiring actual values of a drive system powered by the converter;
- inferring, based on at least one machine learning model and the actual values, one or more adjustments of control parameters of the control loop for improving control accuracy;
- and
- outputting the one or more adjustments for adapting values of the control parameters values.
A converter comprising:
- a processor configured to optimize a control loop of the converter, the processor being configured to optimize the control loop of the converter comprising the processor being configured to:
- acquire actual values of a drive system powered by the converter;
- infer, based on at least one machine learning model and the actual values, one or more adjustments of control parameters of the control loop for improving control accuracy;
- and
- output the one or more adjustments for adapting values of the control parameters.
A method of training a machine learning model, the method comprising:
- training the machine learning model based on actual values of a drive system, the actual values comprising actual rotation speed, a rotation speed setpoint, an actual torque, a control difference, or any combination thereof.
Dependencies are inferred from the claim text.