Deere + Company

Justin T Roth

Andy Blaine Appleton

Rui Zhang

Nohoon Ki

Wissam H El-ratal

Wissam H El-Ratal

Nohoon Kl

A policy map is obtained that includes of prescribed machine settings values for controlling a machine to perform an operation at different locations in the field. Sensor signals indicating conditions that will be encountered by the machine in the future, as it moves through the site. A predictive model provides an expected machine response, based upon the a future condition and a prescribed machine setting value. Adjusted machine setting value is generated based on the expected machine response. Control signals are generated, based on the adjusted machine setting value, to control a set of controllable subsystems.

Predictive machine control

A policy map is obtained that includes a first set of machine settings values for controlling a machine to perform an operation at a site, at different locations in the field. An adjustment component receives sensor signals indicating conditions that will be encountered by the machine in the future, as it moves through the site. A cost determination component determines whether an adjustment is to be made to the first set of settings values, based upon the sensor signals. A predictive vehicle model provides an expected vehicle response, based upon the adjusted settings values that are selected. Control signals are generated based upon adjusted setting values that are generated from the policy map, the expected vehicle response, and the future condition sensor signals. The control signal generator generates the control signals to control a set of controllable subsystems.

A work machine with a chassis, a wheel hub rotationally coupled to the chassis, a tire coupled to the wheel hub and configured to engage an underlying surface, and a controller communicating with a plurality of sensors and having a memory unit. Wherein, the controller stores tire data for the tire in the memory unit and the controller determines a cone index of the underlying surface of the work machine based on the tire data and the plurality of sensors.

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Cedar Falls, IA, United States of America

Justin T Roth