Abstract: A machine learning apparatus for learning a correction parameter used in correction of a command value that controls a motor in a motor drive system including a plurality of kinds of correction functions includes: a state observation unit that observes, as a state variable, each of a feature calculated on the basis of drive data and the kind of any of the correction functions of the motor drive system and the correction parameter; and a learning unit that learns the correction parameter for each of the correction functions according to a training data set created on the basis of the state variable.

Abstract: A processing control device controls a tool for processing a first workpiece. The processing control device includes a driving unit to drive the tool, an output unit, and a control unit to control the driving unit and the output unit. Processing information obtained by performing preliminary processing on a second workpiece before performing first processing on the first workpiece is transmitted by the control unit to the output unit and accordingly the processing information is outputted from the output unit. The control unit generates a control command for performing second processing that is performed on the first workpiece after the first processing. The control unit controls the driving unit according to the control command.

Abstract: A numerical control device includes a drive-shaft movement-amount estimation unit to estimate a first movement amount of a first object that is a target to be moved by a first drive shaft by using a first drive signal, an undriven-object movement-amount estimation unit to estimate a second movement amount of a second object in a three dimensional space, which is generated due to a drive force of the first drive shaft, by using the first drive signal, a correction-amount calculation unit to calculate a correction amount for the first drive signal on the basis of the first movement amount and the second movement amount, and a first correction-signal output unit to output a first corrected drive signal obtained by correcting the first drive signal by the correction amount to a drive unit to drive the first drive shaft.

Abstract: A processing control device controls a tool for processing a first workpiece. The processing control device includes a driving unit to drive the tool, an output unit, and a control unit to control the driving unit and the output unit. Processing information obtained by performing preliminary processing on a second workpiece before performing first processing on the first workpiece is transmitted by the control unit to the output unit and accordingly the processing information is outputted from the output unit. The control unit generates a control command for performing second processing that is performed on the first workpiece after the first processing. The control unit controls the driving unit according to the control command.

Abstract: A machine learning apparatus for learning a correction parameter used in correction of a command value that controls a motor in a motor drive system including a plurality of kinds of correction functions includes: a state observation unit that observes, as a state variable, each of a feature calculated on the basis of drive data and the kind of any of the correction functions of the motor drive system and the correction parameter; and a learning unit that learns the correction parameter for each of the correction functions according to a training data set created on the basis of the state variable.

Abstract: A machine learning apparatus for learning a correction parameter used in correction of a command value that controls a motor in a motor drive system including a plurality of kinds of correction functions includes: a state observation unit that observes, as a state variable, each of a feature calculated on the basis of drive data and the kind of any of the correction functions of the motor drive system and the correction parameter; and a learning unit that learns the correction parameter for each of the correction functions according to a training data set created on the basis of the state variable.

Abstract: A machine learning apparatus for learning a correction parameter used in correction of a command value that controls a motor in a motor drive system including a plurality of kinds of correction functions includes: a state observation unit that observes, as a state variable, each of a feature calculated on the basis of drive data and the kind of any of the correction functions of the motor drive system and the correction parameter; and a learning unit that learns the correction parameter for each of the correction functions according to a training data set created on the basis of the state variable.

Abstract: The present invention is a servo control device that controls a servomotor based on a command position. The servo control device includes a correction unit that corrects the command position using a first neural network that performs processing based on parameters representing a network structure, and a servo amplifier that controls the servomotor based on a corrected command position outputted from the correction unit. The correction unit corrects the command position based on the corrected command position and the actual position of the servomotor.

Abstract: A control parameter adjustment apparatus that adjusts control parameters of a servo control unit and a command-value generation unit that control a machine apparatus including a drive shaft includes a parameter input unit to receive an input of a design parameter that characterizes a property of the machine apparatus, an adjustment function selection unit to select a control parameter to be adjusted from control parameters that correspond to functions of the servo control unit and the command-value generation unit on the basis of the received design parameter, and an adjustment execution unit to execute adjustment of the control parameter selected by the adjustment function selection unit.

Abstract: A machining time calculating apparatus calculates operation schedule information indicating the operation time of each of a plurality of systems that is included in a machine tool and can be controlled independently of one another. The machining time calculating apparatus includes a system cycle time calculation unit. On the basis of wait commands among the plurality of systems described in a machining program (PG) for the machine tool, the system cycle time calculation unit calculates the operation schedule information in which the operation start times of blocks in the machining program of each of the systems are adjusted while maintaining wait timings among the plurality of systems.

Abstract: A numerical control device includes a drive-shaft movement-amount estimation unit to estimate a first movement amount of a first object that is a target to be moved by a first drive shaft by using a first drive signal, an undriven-object movement-amount estimation unit to estimate a second movement amount of a second object in a three dimensional space, which is generated due to a drive force of the first drive shaft, by using the first drive signal, a correction-amount calculation unit to calculate a correction amount for the first drive signal on the basis of the first movement amount and the second movement amount, and a first correction-signal output unit to output a first corrected drive signal obtained by correcting the first drive signal by the correction amount to a drive unit to drive the first drive shaft.

Abstract: A machining time calculating apparatus calculates operation schedule information indicating the operation time of each of a plurality of systems that is included in a machine tool and can be controlled independently of one another. The machining time calculating apparatus includes a system cycle time calculation unit. On the basis of wait commands among the plurality of systems described in a machining program (PG) for the machine tool, the system cycle time calculation unit calculates the operation schedule information in which the operation start times of blocks in the machining program of each of the systems are adjusted while maintaining wait timings among the plurality of systems.