Fanuc Corporation

Yuuki Shirakawa

Satoshi Ikai

Ryoutarou Tsuneki

Wei Luo

Takaki Shimoda

Setting of parameters that determine filter characteristics is facilitated. A machine learning device performs machine learning of optimizing coefficients of at least one filter provided in a servo control device that controls rotation of a motor. The filter is a filter for attenuating a specific frequency component. The coefficients of the filter are optimized on the basis of measurement information of a measurement device that measures at least one of an input/output gain and an input/output phase delay of the servo control device on the basis of an input signal of which the frequency changes and an output signal of the servo control device.

Machine learning device, control device, and machine learning method

To provide a servo motor controller allowing to eliminate the risk of abnormal driving in a servo motor caused due to the inability to detect abnormality prior to establishment of absolute position. A device is configured to control a servo motor of an industrial machine. The device includes a position detection part configured to detect a position of the servo motor, a magnetic pole detection part configured to detect a magnetic pole position of the servo motor, and a pole position calculation part configured to, at least in initial calculation, obtain the magnetic pole position detected by the magnetic pole detection part as an initial magnetic pole position, prior to establishment of absolute position, and in the following calculation, incrementally obtain the magnetic pole position on the basis of data of the position detected by the position detection part and a magnetic pole interval of the motor.

Servo motor controller

A control device includes: an output unit configured to select a motor and output a drive command to a motor drive unit that should be connected to the selected motor so that the selected motor executes a predetermined feed operation; an acquisition unit configured to acquire feedback information from each of the multiple motor drive units; and a wire connection determination unit configured to determine, based on the feedback information, whether the selected motor is connected to the motor drive unit that should be connected to the selected motor, by a power line and a feedback line.

Control device and wire connection determination method

A machine learning device performs machine learning with respect to a servo motor controller that converts a three-phase current to a two-phase current of the d- and q-phase. The machine learning device includes: a state information acquisition unit configured to acquire, from the servo motor controller, state information including velocity or a velocity command, reactive current, and an effective current command and effective current or a voltage command; an action information output unit configured to output action information including a reactive current command to the servo motor controller; a reward output unit configured to output a value of a reward of reinforcement learning based on the voltage command or the effective current command and the effective current; and a value function updating unit configured to update a value function on the basis of the output value of the reward, the state information, and the action information.

Growing community of inventors

Yamanashi, Japan

Yuuki Shirakawa