Working machine control system and method thereof

Abstract

The invention discloses a working machine control system and a method thereof. The working machine learning control method includes: a kinematics solving module generating coordinate information; a learning mode module generating learning target information; a learning control module receiving the coordinate information and the learning target information, to generate a correction control input command; the path attitude correction module receives the correction control command and provides it to the working machine so that the working machine produces a working motion; and the working motion produces an actual error, if the actual error exceeds the predetermined allowable range, then The information of the learning target is revised to generate another revised control input command.

Description

technical field [0001] The present invention relates to a working machine control system and its method. More particularly, the present invention relates to a working machine that can be applied to at least one axis, and can learn and automatically correct the error of the linear axis and the rotating axis, and generate a new processing path . Background technique [0002] The intelligent machine includes an upper controller, a lower controller, a servo gain learning control parameter adjustment unit and a machine tool. [0003] The host controller includes a numerical controller. Numerical controllers have numerically controlled motion control loops. [0004] The lower controller is electrically connected to the upper controller to receive instructions from the numerical control motion control loop. The lower controller includes a dedicated servo driver, and the patented servo driver includes a position control loop, a speed control loop, and a current control loop. Ded...

AI Technical Summary

Problems solved by technology

However, the generation of the adjustment signal is not as simple as the above discussion, and the operator needs to adjust the control gain value of the dedicated servo drive according to the value fed back, so that the servo gain learning control parameter adjustment unit can generate the above adjustment. Calibration signal, if the control gain value is not adjusted, the above calibration signal cannot be generated

[0009] As mentioned above, the existing intelligent machines are limited to adjust the control gain value to determine whether the adjustment signal can be generated

In addition, adjusting the control gain value will affect the stability of the intelligent machine, and the lower controller needs to be readjusted

In addition, the above-mentioned machine tool is limited to three axes, and it cannot be implemented if it exceeds the three axes.

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