Abstract: Provided is a semiconductor device including: a drift region of a first conductivity type provided in a semiconductor substrate; a collector region of a second conductivity type provided on a back surface of the semiconductor substrate; a cathode region of the first conductivity type provided on the back surface of the semiconductor substrate and having a higher doping concentration than the drift region; a plurality of trench portions provided on a front surface of the semiconductor substrate; and a lifetime control portion provided in the semiconductor substrate and containing a lifetime killer, in which the lifetime control portion includes: a main region provided in a diode portion; and a decay region provided to extend from the main region in a direction parallel to the front surface of the semiconductor substrate and having a lifetime killer concentration that has decayed more than a lifetime killer concentration of the main region.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.