Numerical controller with learned pressure estimation
US10802476B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2018 |
| Grant date | Oct 13, 2020 |
| Priority date | — |
| Expiry date | Jul 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/42155
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Provided is a numerical controller capable of easily controlling a pressure without a pressure sensor. The numerical controller estimates a pressure based on at least one of a command value and a feedback value. A machine learning device for learning the pressure corresponding to the at least one of the command value and the feedback value is included. The machine learning device includes a state observation unit for observing the at least one of the command value and the feedback value as a state variable, a label data acquisition unit for acquiring label data indicating the pressure, and a learning unit for associating and learning the state variable with the label data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.