Self Learning Control System and Method for Optimizing a Consumable Input Variable

A system in relation to one or more operable elements which result in output variables, at least one of the operable elements including a respective controllable motor, wherein there is more than one operation point or path of system variables that can provide a given output setpoint, wherein at least one system variable at an operation point or path correlates to another system variable at the operation point or path, the system comprising:

• memory;
• and
• one or more controllers configured to execute instructions stored in the memory to operate in a loop to:
• detect input variables, the input variables including non-controllable variables and system controllable variables, the non-controllable variables including output demand, the system controllable variables include at least one optimizable input variable,
• detect the system variables, and
• update a model with respect to the at least one optimizable input variable, comprising calculating the updated model using established relationships between variables, the detected input variables and the detected system variables, the updated model providing, based on the established relationships between variables, prediction of use of the input variables in possible operation points or paths of the system variables which achieve an output setpoint,
• wherein for iterations of the loop said updating of the model is based on operating, based on one or more of the detected input variables and the detected system variables, the one or more operable elements in accordance with the updated model to provide an optimal operation point or path of the system variables which achieves the output setpoint and which optimizes the at least one optimizable input variable.

A method in relation to one or more operable elements which result in output variables, at least one of the operable elements including a respective controllable motor, wherein there is more than one operation point or path of system variables that can provide a given output setpoint, wherein at least one system variable at an operation point or path correlates to another system variable at the operation point or path, the method comprising:

• performing a loop comprising:
• detecting input variables, the input variables including non-controllable variables and system controllable variables, the non-controllable variables including output demand, the system controllable variables include at least one optimizable input variable,
• detecting the system variables, and
• updating a model with respect to the at least one optimizable input variable, comprising calculating the updated model using established relationships between variables, the detected input variables and the detected system variables, the updated model providing, based on the established relationships between variables, prediction of use of the input variables in possible operation points or paths of the system variables which achieve an output setpoint,
• wherein for iterations of the loop said updating of the model is based on operating, based on one or more of the detected input variables and the detected system variables, the one or more operable elements in accordance with the updated model to provide an optimal operation point or path of the system variables which achieves the output setpoint and which optimizes the at least one optimizable input variable.

A non-transitory computer readable medium comprising instructions which are executable by one or more controllers in relation to one or more operable elements which result in output variables, at least one of the operable elements including a respective controllable motor, wherein there is more than one operation point or path of system variables that can provide a given output setpoint, wherein at least one system variable at an operation point or path correlates to another system variable at the operation point or path, the instructions comprising:

• instructions for operating in a loop to:
• detect input variables, the input variables including non-controllable variables and system controllable variables, the non-controllable variables including output demand, the system controllable variables include at least one optimizable input variable,
• detect the system variables, and
• update a model with respect to the at least one optimizable input variable, comprising calculating the updated model using established relationships between variables, the detected input variables and the detected system variables, the updated model providing, based on the established relationships between variables, prediction of use of the input variables in possible operation points or paths of the system variables which achieve an output setpoint,
• wherein for iterations of the loop said updating of the model is based on operating, based on one or more of the detected input variables and the detected system variables, the one or more operable elements in accordance with the updated model to provide an optimal operation point or path of the system variables which achieves the output setpoint and which optimizes the at least one optimizable input variable.