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Machine learning device, control system, and machine learning method

A machine learning, machine technology, applied in control systems, machine learning, general control systems, etc.

Pending Publication Date: 2021-02-26
FANUC LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] There is a problem that, as one of the causes of machining errors in machine tools, relative thermal displacement occurs between the tool and the workpiece due to thermal expansion of machine elements such as the spindle of the machine tool and the ball screw.

Method used

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  • Machine learning device, control system, and machine learning method
  • Machine learning device, control system, and machine learning method
  • Machine learning device, control system, and machine learning method

Examples

Experimental program
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no. 1 Embodiment approach

[0042] First, a control system including the machine learning device of the present disclosure will be described.

[0043] figure 1 It is a block diagram showing the configuration at the time of machine learning of the control system according to the first embodiment of the present disclosure. figure 2 It is a block diagram showing the configuration during operation of the control system according to the first embodiment of the present disclosure. image 3 It is a block diagram showing the structure of a thermal displacement correction part. Figure 4 It is a block diagram showing a model of a machine tool including a spindle. Figure 5 It is a block diagram showing the configuration of a virtual temperature model creation unit and a thermal displacement model creation unit.

[0044] Such as figure 1 as well as figure 2 As shown, the control system 10 has a numerical control unit 100 such as a CNC (Computerized Numerical Control) device, a thermal displacement correction ...

no. 2 Embodiment approach

[0125] In the first embodiment, a machine learning device that performs machine learning on the first coefficient that determines the calorific value and the second coefficient that determines the calorific value of the virtual principal axis temperature calculation formula used to obtain the virtual principal axis temperature, and performs machine learning on the The temperature of the virtual main axis is used as a parameter to obtain the coefficient of the thermal displacement estimation calculation formula for the thermal displacement estimation by machine learning. In this embodiment, a machine learning device is described that performs machine learning on the first coefficient for determining the calorific value and the second coefficient for determining the calorific value of the virtual turret temperature calculation formula used to obtain the virtual turret temperature, and obtains the The calculated virtual turret temperature is used as a parameter to obtain the coeff...

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Abstract

The invention provides a machine learning device, a control system and a machine learning method, and the temperature is difficult to estimate at a position where a temperature sensor cannot be installed or where the temperature sensor is difficult to install during actual operation. The machine learning device includes a virtual temperature model calculating unit having an equation including a first coefficient for determining a heat generation amount and a second coefficient for determining a heat dissipation amount and configured to calculate virtual temperature data by estimating a temperature of a specific portion of a machine by the equation using heat generation factor data; and a thermal displacement model calculating unit configured to calculate, using the calculated virtual temperature data and actual temperature data acquired from at least one temperature sensor mounted to a portion other than the specific portion, an error between thermal displacement estimated by the equation and actually measured thermal displacement, in which the virtual temperature model calculating unit performs machine learning to search for the first coefficient and the second efficient so that the error is minimized.

Description

technical field [0001] The present invention relates to a machine learning device for performing machine learning for creating a virtual temperature model, a control system including the machine learning device, and a machine learning method, wherein the virtual temperature model is used to estimate the temperature of a specific part of a machine where a temperature sensor cannot be installed, Or even if a temperature sensor can be installed during data collection, it is difficult to install the temperature of a specific part of the machine during actual operation. Background technique [0002] As one of the causes of machining errors in machine tools, there is a problem that relative thermal displacement occurs between the tool and the workpiece due to thermal expansion of machine elements such as the main shaft of the machine tool and the ball screw. A machine learning device or a thermal displacement correction device that solves such a problem is described in, for exampl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/414
CPCG05B19/414G05B19/404G05B13/0265G05B2219/49206G05B2219/49209G06N20/00G06N3/006G01N25/16G01N25/20G06N5/04G05B2219/37429H02P29/60G05B2219/33034
Inventor 小西弘记
Owner FANUC LTD
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