A robot apparatus is provided on a stand and includes a control apparatus that controls the robot apparatus. The control apparatus calculates vibration generated on the stand based on model data of the stand and trajectory data of an operation of the robot apparatus and corrects the trajectory data based on the vibration.

To provide a controller for a machining device capable of making the machining device make oscillating motion along a command route. A controller controls a machine tool comprising multiple control axes and used for machining by cutting of a work as a machining target. The controller comprises: a position command acquiring unit that acquires a position command directed to a servo motor for driving a cutting tool or a position command directed to a servo motor for driving the work; a rotation speed acquiring unit that acquires a rotation speed such as that of the cutting tool; an oscillation amplitude calculating unit that calculates oscillation amplitude based on the position command and the rotation speed; an oscillation frequency calculating unit that calculates an oscillation frequency based on the rotation speed; an oscillation command calculating unit that calculates an oscillation command based on the oscillation amplitude and the oscillation frequency; a position command storage unit that stores a command route determined based on the oscillation amplitude; an oscillation command correcting unit that corrects the oscillation command based on the command route; and a driving unit that determines a drive signal to be used for driving the servo motor based on the position command and the corrected oscillation command, and outputs the drive signal.

A six-degree-of-freedom micro vibration suppression platform includes a basic platform, a load platform, six sets of single-degree-of-freedom active and passive composite vibration isolation devices that are exactly the same and a controller. Upper and lower ends of each set of single-degree-of-freedom active and passive composite vibration isolation devices are connected with the load platform and the basic platform, respectively. A control method includes: calculating a logical axis signal, calculating a logical axis control signal, calculating physical axis real-time control signals and a transfer step.

A machine learning apparatus determines a control parameter of an active vibration isolation apparatus on which an industrial machine is mounted. The industrial machine includes a movable part, a drive source that drives the movable part, and a drive source control section that controls the drive source to position the movable part at a command position. The machine learning apparatus includes: an acquiring section that acquires, as teacher data, a positional deviation, which is a difference between the command position and an actual position of the movable part; a storage section that stores a learning model that outputs the control parameter corresponding to a state quantity concerning the industrial machine; and a learning section that updates the learning model using the teacher data.

An apparatus for controlling resonance suppression of a machine tool according to the present disclosure includes: a numerical control part; a main operation part; a PLC configured to execute a control command by means of communication with the numerical control part or the main operation part; a servo drive configured to execute the control command of the PLC; a servo motor part configured to operate under control of the servo drive; and a power conversion part electrically connected to the servo motor part and the servo drive and configured to apply electrical energy to the servo motor part, wherein the power conversion part controls resonance suppression in accordance with an operation of the servo motor part by adjusting electrical energy to be applied to the servo motor part based on a signal from the servo drive.

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.

A machine learning apparatus determines a control parameter of an active vibration isolation apparatus on which an industrial machine is mounted. The industrial machine includes a movable part, a drive source that drives the movable part, and a drive source control section that controls the drive source to position the movable part at a command position. The machine learning apparatus includes: an acquiring section that acquires, as teacher data, a positional deviation, which is a difference between the command position and an actual position of the movable part; a storage section that stores a learning model that outputs the control parameter corresponding to a state quantity concerning the industrial machine; and a learning section that updates the learning model using the teacher data.

An adjustment necessity determination device is an adjustment necessity determination device that makes a determination, after a workpiece is machined, about a necessity to make an adjustment of a deviation of the axis position of each axis of a machine tool that has performed the machining and includes: a data acquisition unit that acquires a physical quantity relating to a cause of a deviation of the axis position of each axis of the machine tool, the physical quantity observed at the time of the machining; a time-series data storage unit that stores the physical quantity as time-series data; and an adjustment necessity judgement unit that makes a judgment about a necessity to make an adjustment of a deviation of the axis position of each axis of the machine tool based on the time-series data.

A compensation quantity acquisition device acquires vibration of the movement target in a second axis direction, orthogonal to the first axis direction when the movement target is moved in the first axis direction, acquires a positional frequency characteristic by performing Fourier transformation on the acquired vibration in the second axis direction, performs inverse Fourier transformation on the positional frequency characteristic from which the component of position independent frequency in the second axis direction (that occurs independently of a position of the movement target in the first axis direction) has been removed, to recover the vibration of the movement target in the second axial direction as position dependent vibration, and acquires positional compensation quantity of the movement target in the second axis direction that cancels the position dependent vibration.

A robot apparatus is provided on a stand and includes a control apparatus that controls the robot apparatus. The control apparatus calculates vibration generated on the stand based on model data of the stand and trajectory data of an operation of the robot apparatus and corrects the trajectory data based on the vibration.