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US 2017/0083006 A1Published application
Control system for agricultural equipment
AssigneeDeere & Company
InventorWilliam D. French, JR.
Life of this patent
Estimating the term…
Abstract
In an agricultural machine, sensor signal variability is identified, over a period of time. A control system deadband is identified, based upon the sensor signal variability. A control system uses the control system deadband to control the agricultural machine.
Claims20
An agricultural machine, comprising:
- a plurality of different subsystems, each performing a function of the agricultural machine;
- a plurality of different sensors that sense variables and generate sensor signals indicative of the sensed variables;
- a deadband identification system that identifies a deadband corresponding to each of the sensor signals;
- and
- a control system that generates action signals for controlling the plurality of different subsystems, based on the sensor signals and the deadbands.
2 more elements
A method of controlling an agricultural machine, comprising:
- sensing a plurality of different variables;
- generating a plurality of different sensor signals, each indicative of a corresponding sensed variable;
- automatically identifying a measure of signal variability corresponding to each of the different sensor signals;
- and
- generating action signals to control a plurality of different subsystems on the agricultural machine, based on the sensor signals and the identified measure of signal variability.
2 more elements
An agricultural machine, comprising:
- a plurality of different subsystems, each performing a function of the agricultural machine;
- a plurality of different sensors each sensing a corresponding variable and generating a sensor signal indicative of the corresponding variable;
- a variability identifying component configured to automatically identify a measure of signal variability corresponding to each of the different sensor signals;
- and
- a control system that controls the plurality of different subsystems on the agricultural machine, based on the sensor signals and the identified measure of signal variability.
2 more elements
Dependencies are inferred from the claim text.