Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
AUTOMATED GROUND LEVELING USING ARTIFICIAL NEURAL NETWORK
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.
AUTOMATED GROUND LEVELING USING ARTIFICIAL NEURAL NETWORK
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.
AUTOMATED GROUND LEVELING USING ARTIFICIAL NEURAL NETWORK
LIM TIEN-CHUONG (Autor:in) / MCCORD CHRISTOPHER T (Autor:in) / PEAVY BENJAMIN SETH (Autor:in)
24.03.2022
Patent
Elektronische Ressource
Englisch
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