Method and assembly for controlling an internal combustion engine having multiple burners

A controller that controls a combustion engine with multiple burners, the controller configured to perform a method comprising:

• a) recording burner-specific combustion measurement data for a respective burner, each respective burner being assigned a burner identifier that identifies the respective burner;
• b) recording performance measurement data of the combustion engine which is used to determine a performance value;
• c) training a machine learning model using the burner-specific combustion measurement data, the assigned burner identifiers and the performance measurement data, to generate burner-specific control data that optimize the performance value when the multiple burners are actuated using the burner-specific control data;
• and
• d) outputting the burner-specific control data generated by the trained machine learning model to actuate the multiple burners;
• wherein the machine learning model comprises multiple submodels which are specific to respective burners and which each generate the burner-specific control data for the respective burners.

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 comprising:

• a) recording burner-specific combustion measurement data for a respective burner, each respective burner being assigned a burner identifier that identifies the respective burner;
• b) recording performance measurement data of the combustion engine which is used to determine a performance value;
• c) training a machine learning model using the burner-specific combustion measurement data, the assigned burner identifiers and the performance measurement data, to generate burner-specific control data that optimize the performance value when the multiple burners are actuated using the burner-specific control data;
• and
• d) outputting the burner-specific control data generated by the trained machine learning model to actuate the multiple burners;
• wherein the machine learning model comprises multiple submodels which are specific to respective burners and which each generate the burner-specific control data for the respective burners.