A temperature of a portion of which the temperature is difficult to directly measure is accurately estimated in a simple method. In S1, information about a coolant discharging/stopping state is obtained. As the information about the coolant discharging/stopping state, a flag is used such that the flag represents 1 for the discharging state and the flag represents 0 for the stopping state. Next, in S2, temperature data is obtained from temperature sensors provided in components of a machine tool, a machining space, and a coolant tank. Next, in S3, lag process is performed for the coolant discharging/stopping state flag, and coefficients for measured temperatures of the coolant and the structure are calculated. Next, in S4, the measured temperatures are multiplied by the coefficients, and an estimated temperature of a portion to which the temperature sensor is not attached is calculated.

A temperature of a portion of which the temperature is difficult to directly measure is accurately estimated in a simple method. In S1, information about a coolant discharging/stopping state is obtained. As the information about the coolant discharging/stopping state, a flag is used such that the flag represents 1 for the discharging state and the flag represents 0 for the stopping state. Next, in S2, temperature data is obtained from temperature sensors provided in components of a machine tool, a machining space, and a coolant tank. Next, in S3, lag process is performed for the coolant discharging/stopping state flag, and coefficients for measured temperatures of the coolant and the structure are calculated. Next, in S4, the measured temperatures are multiplied by the coefficients, and an estimated temperature of a portion to which the temperature sensor is not attached is calculated.

A thermal displacement correction system performs thermal displacement correction in cooperation with a thermal displacement correction device and a computer connected via a network. The thermal displacement correction system that corrects thermal displacement caused by processing performed by a machine comprises: the thermal displacement correction device connected to the machine; and the computer connected to the thermal displacement correction device via the network. The computer comprises: a data acquisition unit that acquires environmental data on an external environment of the machine via the network; a correction value inference unit that calculates a correction value using the environmental data; and a correction value output unit that outputs the correction value to the network. The thermal displacement correction device comprises: a correction value acquisition unit that acquires the correction value via the network; and a correction execution unit that performs thermal displacement correction using the correction value.

Various embodiments relate to compensating for a deviation in an operating point of a manipulator during the processing of a workpiece. A command sequence is processed for controlling the manipulator, and a piece of setpoint position information is generated. The operating point is set based on the setpoint position information. The setpoint position information is processed using a compensation parameter set for ascertaining a compensation value. The setpoint position information is adjusted according to the compensation value for compensating for a deviation between an actual position of the operating point and the setpoint position. The actual position is measured during the processing of the workpiece. A correction value is ascertained, based on a comparison between the measured actual position and the setpoint position. The compensation parameter set is adjusted during the processing of the workpiece for reducing the deviation based on the correction value.

Various embodiments relate to compensating for a deviation in an operating point of a manipulator during the processing of a workpiece. A command sequence is processed for controlling the manipulator, and a piece of setpoint position information is generated. The operating point is set based on the setpoint position information. The setpoint position information is processed using a compensation parameter set for ascertaining a compensation value. The setpoint position information is adjusted according to the compensation value for compensating for a deviation between an actual position of the operating point and the setpoint position. The actual position is measured during the processing of the workpiece. A correction value is ascertained, based on a comparison between the measured actual position and the setpoint position. The compensation parameter set is adjusted during the processing of the workpiece for reducing the deviation based on the correction value.

A machine learning device that can optimize an equation for estimating a thermal displacement amount of a machine element based on the operating state of the machine element. The device acquires operating state data of the machine element, acquires a measured value for the thermal displacement amount, stores the operating state data and measured values for the thermal displacement amount of the machine element as training data associated together as a label, sets an equation for calculation the thermal displacement amount based on the operating state data, calculates an estimated value for the thermal displacement amount by substituting the operating state data into this equation, determines whether a difference between the estimated value for the thermal displacement amount and the measured value for the thermal displacement amount is no more than a predetermined threshold.

A machine tool includes a workpiece holding unit to hold a workpiece. A tool holding unit holds a tool. At least one of the workpiece holding unit and the tool holding unit is drivingly rotatable or drivingly movable in a predetermined direction to machine the workpiece with the tool. Temperature sensors are attached to members constituting the machine tool. An estimator calculates an environmental temperature system thermal displacement amount due to a heat source outside the machine tool. A correction magnification processor calculates an environmental temperature system thermal displacement correction amount. Another estimator calculates a driving system thermal displacement amount due to a heat source in the machine tool. A thermal displacement correction amount adder obtains and outputs a total thermal displacement correction amount based on which the machine tool performs thermal displacement correction control.

A control apparatus for a welding tool includes a determination module for determining a normalized displacement signal, in which a deflection of a tong-shaped tool, due to an effect of a mechanical force generated on the tool during a work process using the tong-shaped tool, is compensated for. The control apparatus further includes a force regulation module for regulating a progression of the force which the tong-shaped tool applies to at least one component during the work process on at least one component. The force regulation module is configured to regulate the progression of the force during the work process based on the normalized displacement signal.

The present invention relates to a control system and control method. The control system is applied to a machine tool and includes a horizontal monitor unit, a temperature monitor unit, a temperature adjustment device and a controller. The horizontal monitor unit is configured to measure a horizontal angle of a table and the temperature monitor unit is configured to measure a temperature information of a sensing area in a machining device. The controller receives the horizontal angle and the temperature information, then generates a compensation signal to the temperature adjustment device to change the temperature of an adjusting area in the machining device so that the horizontal angle of the table and the vertical inclination of the machining device are orthogonal to each other.

A thermal displacement compensation system detects a state quantity indicating a state of an operation of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount, of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity and stores the generated learning model in association with a combination of specified conditions of the operation of the machine.