Automated ground leveling using artificial neural network

    公开(公告)号:US12221764B2

    公开(公告)日:2025-02-11

    申请号:US17445228

    申请日:2021-08-17

    Abstract: A surface grading system includes a traction unit and a scraper implement attached thereto via a three-point hitch system. A controller automatically controls an actuator of the three-point hitch system to automatically adjust a position of the scraper implement relative to the traction unit to automatically profile the ground surface to achieve a desired profile. The controller includes an Artificial Neural Network that receives a pitch angle of the traction unit and a leveling variation as input values, and outputs a hitch control signal. The Artificial Neural Network includes a first layer using a logarithmic sigmoid function as an activation function, and an output layer using a linear function as an activation function. The hitch control signal raises or lowers the three-point hitch system as the traction unit moves across the ground surface.

    Remote tractor control system
    4.
    发明授权

    公开(公告)号:US10802496B2

    公开(公告)日:2020-10-13

    申请号:US16114653

    申请日:2018-08-28

    Abstract: A remote tractor control system with a hand held remote control unit having an enable button that when actuated sends signals from a plurality of command buttons on the hand held remote control unit to a three point hitch controller, a transmission controller and an engine controller on a tractor. When not actuated, a rear switch module may be used to raise and lower the three point hitch or creep in forward or reverse, while the hand held remote control unit may display information about tractor condition from the engine controller.

    REMOTE TRACTOR CONTROL SYSTEM
    6.
    发明申请

    公开(公告)号:US20200073397A1

    公开(公告)日:2020-03-05

    申请号:US16114653

    申请日:2018-08-28

    Abstract: A remote tractor control system with a hand held remote control unit having an enable button that when actuated sends signals from a plurality of command buttons on the hand held remote control unit to a three point hitch controller, a transmission controller and an engine controller on a tractor. When not actuated, a rear switch module may be used to raise and lower the three point hitch or creep in forward or reverse, while the hand held remote control unit may display information about tractor condition from the engine controller.

    AUTOMATED GROUND LEVELING USING ARTIFICIAL NEURAL NETWORK

    公开(公告)号:US20220090352A1

    公开(公告)日:2022-03-24

    申请号:US17445228

    申请日:2021-08-17

    Abstract: A surface grading system includes a traction unit and a scraper implement attached thereto via a three-point hitch system. A controller automatically controls an actuator of the three-point hitch system to automatically adjust a position of the scraper implement relative to the traction unit to automatically profile the ground surface to achieve a desired profile. The controller includes an Artificial Neural Network that receives a pitch angle of the traction unit and a leveling variation as input values, and outputs a hitch control signal. The Artificial Neural Network includes a first layer using a logarithmic sigmoid function as an activation function, and an output layer using a linear function as an activation function. The hitch control signal raises or lowers the three-point hitch system as the traction unit moves across the ground surface.

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