Analytical model training for a machine impeller control system

A method comprising:

• obtaining fluidic pressure information associated with at least one first machine, the fluidic pressure information being indicative of a fluidic pressure of a working fluid in a hydraulic cylinder of the at least one first machine during at least one training event as a function of time;
• generating a training set that associates a portion of the fluidic pressure information with first impeller clutch engagement values observed on the at least one first machine during the at least one training event;
• training a time-step predictive analytical model, via supervised machine learning techniques based on the training set, to use the portion of the fluidic pressure information to predict the first impeller clutch engagement values;
• and
• providing the time-step predictive analytical model to an impeller clutch controller of a second machine, wherein the impeller clutch controller is configured to control engagement of an impeller clutch of the second machine using the time-step predictive analytical model.

A method, comprising:

• obtaining fluidic pressure information associated with at least one first machine, the fluidic pressure information being indicative of a fluidic pressure of a working fluid in a hydraulic cylinder of the at least one first machine during at least one training event as a function of time;
• generating a training set that associates a portion of the fluidic pressure information with a plurality of first machine torque response values observed during the at least one training event;
• training, using supervised machine learning techniques, a time-step predictive analytical model by:
• predicting, via the time-step predictive analytical model, and using the portion of the fluidic pressure information in the training set, a plurality of second machine torque response values;
• determining a system response error value associated with the training set based at least in part on the plurality of second machine torque response values and the plurality of first machine torque response values;
• and
• determining that the system response error value is less than or equal to a threshold error value;
• and
• providing the time-step predictive analytical model to a controller of a second machine, wherein the time-step predictive analytical model configures the controller to modulate output torque of a transmission of the second machine.