Invention Grant
- Patent Title: Control mapping for hydraulic machines
-
Application No.: US16410934Application Date: 2019-05-13
-
Publication No.: US11560908B2Publication Date: 2023-01-24
- Inventor: Benjamin John Hodel , Nicholas Anthony Payne , Russell Aaron Schloss , Corey Lee Gorman
- Applicant: Caterpillar Inc.
- Applicant Address: US IL Deerfield
- Assignee: Caterpillar Inc.
- Current Assignee: Caterpillar Inc.
- Current Assignee Address: US IL Deerfield
- Agency: Lee & Hayes, PLLC
- Main IPC: F15B19/00
- IPC: F15B19/00 ; G06N20/00 ; E02F3/43 ; G06N3/08 ; E02F3/32 ; E02F9/22 ; F15B11/04 ; F15B11/16 ; F15B21/08

Abstract:
A machine control system can store model weights determined via machine learning using a training dataset correlating preset hydraulic valve displacements to measured movement parameters of a machine component. The machine control system can receive an input command for the component and machine state data from machine sensors. A control mapping model can use the model weights to map a combination of the input command and the machine state data into a predicted displacement of the hydraulic valve that causes movement of the component in response to the input command.
Information query