According to one or more embodiments of the disclosure, a device in a network obtains parameters for entropy testing of industrial equipment that controls a physical process. Entropy is added to commands sent to the industrial equipment during the entropy testing. The device receives packets that were generated during the entropy testing of the industrial equipment and include sensor data regarding the physical process. The device determines whether the sensor data is inconsistent by analyzing the sensor data using a machine learning model that models the physical process. The device initiates a corrective measure, when the sensor data is determined to be inconsistent.

A control device is connected to a servo mechanism that drives a controlled object and outputs a manipulated variable to the servo mechanism so that a controlled variable tracks a target trajectory. The control device includes a controller and a sensor. The controller acquires a measured value from the sensor and performs model predictive control for each control period using a dynamics model representing a relationship between the manipulated variable and the position of the controlled object to generate the manipulated variable to be output to the servo mechanism. The sensor measures the position of the controlled object. The controller performs model predictive control in a first mode using the measured value when the controlled object has a position within the range, and performs model predictive control in a second mode using an output value of the dynamics model when the controlled object has a position outside the range.

A control device includes a control component that performs model predictive control for each control period using a dynamics model representing a relationship between a manipulated variable and the position of a controlled object to generate a manipulated variable to be output to the servo driver. The dynamics model includes a first dynamics model representing a relationship between the manipulated variable and a position of a servomotor, and a second dynamics model representing a relationship between the position of the servomotor and the position of the controlled object. The second dynamics model is created using a waveform parameter extracted from a vibration waveform of the controlled object. The waveform parameter includes a vibration frequency.

A vibration state detection device includes an imaging device configured to image at least one driven element to be driven by a drive unit of a machine tool; and a vibration state analysis unit configured to calculate a parameter corresponding to vibration of the driven element, based on image data for each predetermined period of elapsed time acquired by the imaging device. The parameter includes at least a vibration frequency and a machine tool including the vibration state detection device. Accordingly, it is possible to reliably obtain a parameter corresponding to vibration caused by cutting, even if cutting oil, chips, or the like adheres to a tool of a machine tool, and it is possible to suppress vibration caused by cutting.

A motor control device includes an acceleration detecting section configured to detect an acceleration of a control object, and an acceleration control section configured to control an acceleration of a motor driving the control object based on the detected acceleration, in which the acceleration control section includes a vibration component extraction filter configured to extract a vibration component generated between the motor and the control object, and the vibration component extraction filter changes a filter characteristic frequency according to at least one of a position and a mass of the control object.

A servo control device for controlling an end effector of a machine to follow a set reference trajectory by driving the machine using an actuator includes a feedforward compensation unit that performs feedforward compensation by outputting a feedforward signal for controlling the actuator on the basis of a position command signal inputted thereto, wherein input-output characteristics represented in a continuous-time system of the feedforward compensation unit are expressed by a transfer function having unstable zeros, and a step response of the feedforward compensation unit has an initial undershoot.

A vibration state detection device includes an imaging device configured to image at least one driven element to be driven by a drive unit of a machine tool; and a vibration state analysis unit configured to calculate a parameter corresponding to vibration of the driven element, based on image data for each predetermined period of elapsed time acquired by the imaging device. The parameter includes at least a vibration frequency and a machine tool including the vibration state detection device. Accordingly, it is possible to reliably obtain a parameter corresponding to vibration caused by cutting, even if cutting oil, chips, or the like adheres to a tool of a machine tool, and it is possible to suppress vibration caused by cutting.

After a component picked up by a suction nozzle is moved in an XY direction towards target XY coordinates, a waveform of a vibration (vibration waveform) in the Y direction arising in the component after the component has arrived near the target XY coordinates is measured, and control is performed such that the component arrives at a target Z coordinate (value zero) when a displacement y of the component crosses a node of the measured vibration waveform.

The roller-to-roller conveyance control apparatus includes an amplitude target setting unit that sets an amplitude target value of the tension deviation; an adjustment execution command generation unit that provides a command to adjust the control gain; an adjustment manipulated-variable output unit that outputs an adjustment manipulated variable; a manipulated-variable amplitude determination unit that increases the amplitude of the adjustment manipulated variable until the amplitude of the tension deviation becomes larger than the amplitude target value; and a control-gain calculation device that calculates the control gain from the amplitude and the vibration period of the tension deviation. A tension-shaft speed controller controls a tension-control-shaft motor on the basis of the line speed reference and the adjustment manipulated variable during the adjustment of the control gain.