Abstract: A controller (10) corrects a predictive value in a certain predictive error variation cycle by using the predictive error in a predictive error variation cycle prior to the certain predictive error variation cycle, wherein the predictive error variation cycle is a cycle of a time change of an error, i.e., predictive error, between an actually measured value and a predictive value of the controlled quantity.

Abstract: A control device includes an interface for exchanging data with a servo driver. The servo driver is configured to execute a control arithmetic operation in which a manipulation amount for driving the servo motor is determined on the basis of a control parameter determined in accordance with a control target. The control device includes a creation unit that acquires the control parameter of the servo driver and creates an internal model representing a motion characteristic of the control target, and a target value calculation unit that calculates a corrected target value to be supplied to the servo driver on the basis of a target value corresponding to a target track and a feedback value from the control target.

Abstract: Compensation for an external disturbance can be applied without requiring a model of the external disturbance, and, particularly, the amount of control can be accurately predicted even when the amplitude of a waveform representing changes in a predicted error with respect to time is not constant with respect to time in a case in which the predicted error that is an error between an actually-measured value of the amount of control of a control target and a predicted value periodically changes. A controller compensates a predicted value of the current amount of control using a predicted error of a previous period by taking changes in the amplitude of a waveform representing a predicted error that is an error between an actually-measured value of the amount of control and a predicted value into account.

Abstract: The present invention simplifies the processing for compensating an influence for a controlled quantity generated from shaping interference in motion control. A controller (10) as a model predictive control device computes an error between an actually measured value of a controlled quantity in a certain action cycle when shaping interfering is applied and a predictive value of the controlled quantity in the certain action cycle, i.e., the model predictive error, and corrects the predictive value in the action cycle after the certain action cycle by using the computed model predictive error.

Abstract: A control device, a method of controlling the control device and recording medium are provided. Ranges of movement of a plurality of servo control systems are effectively used. A controller generates a corrected trajectory in which a high frequency component is removed from a first inverse kinematics trajectory so that no phase delay occurs as a command trajectory of a first servo control system.

Abstract: Improvement of following performance about a target value is achieved in a control system, particularly a feedback control system. A command value correcting device corrects a current-control-cycle command value received with a feedback controller using a current-control-cycle controlled variable of a control target.

Abstract: A control device, a method of controlling the control device and recording medium are provided. Ranges of movement of a plurality of servo control systems are effectively used. A controller generates a corrected trajectory in which a high frequency component is removed from a first inverse kinematics trajectory so that no phase delay occurs as a command trajectory of a first servo control system.

Abstract: A control device, a method of controlling the control device and recording medium are provided. An adherence performance of all of a plurality of servo control systems is improved. A controller predicts a response of a first servo control system corresponding to a corrected trajectory and corrects a first command value or generates a second inverse kinematics trajectory using the predicted response.

Abstract: A control device generates a second command value by compensating a first command value output at every control cycle according to a predetermined pattern with a correction amount output at every control cycle according to correction data, updates the correction data based on a deviation between the first command value and a feedback value from the control object, and determines an initial value of the correction data. The control device acquires a response characteristic indicating a relationship between an assigned command value and a feedback value shown in the control object in response to the command value, estimates a feedback value to be shown in the control object based on a value obtained by compensating the first command value with temporary correction data and the response characteristic, and updates the temporary correction data based on a deviation between the first command value and the estimated feedback value.

Abstract: A control device, a position control system, a position control method, and a recording medium are provided. The controller includes a feedback control unit and a position determination unit. The position determination unit acquires an encoder values from a driver at a cycle. The position determination unit acquires a measurement position obtained by measuring a positional relationship between a control object position and a target position by image processing, at a time interval that is longer than the cycle. The position determination unit determines an estimation interpolation position corresponding to the control object position by using the encoder value and the measurement position. The feedback control unit outputs control data for aligning the control object position at the target position by using the estimation interpolation position determined by the position determination unit to the driver.

Abstract: A characteristic change, disturbance, and an abnormal state are accurately detected with no use of a high-accuracy simulation model. A control device for controlling a control target includes a predictive value calculator that outputs a predictive value of an output value to an input value with respect to a model of the control target, a prediction error calculator that calculates a relational value indicating a relationship between the predictive value and a measured value of output of the control target; and a change detector that compares a first relational value to a second relational value, the first relational value being the relational value in a reference state in which the control target operates normally, the second relational value being the relational value in an operating state in which the control target is operated.

Abstract: A control device includes an interface for exchanging data with a servo driver. The servo driver is configured to execute a control arithmetic operation in which a manipulation amount for driving the servo motor is determined on the basis of a control parameter determined in accordance with a control target. The control device includes a creation unit that acquires the control parameter of the servo driver and creates an internal model representing a motion characteristic of the control target, and a target value calculation unit that calculates a corrected target value to be supplied to the servo driver on the basis of a target value corresponding to a target track and a feedback value from the control target.

Abstract: A control device (100) for controlling a control subject (2), said control device being equipped with: an instruction value generation part (20) that calculates an instruction value from an instruction pattern; a learning control part (30) that repeatedly calculates correction data containing a correction value for correcting the instruction value calculated from the instruction pattern; and a control part (10) that calculates a corrected instruction value from the instruction value and the correction data, and transmits the corrected instruction value to the control subject. The learning control part (30) generates the correction data from a response delay characteristic of the control subject, and the deviation between a feedback value for the corrected instruction value that has been output for the control subject and the instruction value that has been calculated by the instruction value generation part (20).

Abstract: A control device, a control program and a control system for facilitating creation of a dynamic characteristic model for an arbitrarily selected controlled object are provided. The control device is connected to a control instrument having a feedback control loop. The control device includes an input device for applying an identification input to the control instrument, a collection device for collecting an identification output, which corresponds to the identification input, from the control instrument, and a creation device for creating a dynamic characteristic model reflecting dynamic characteristics of a controlled object controlled by the control instrument and dynamic characteristics of the feedback control loop included in the control instrument, based on the identification input and the identification output.

Abstract: A control device, a control program and a control system are provided. The control device includes: a first identification device for giving a first command as a command value to a drive device and determining a torque required for the controlled object to execute the first command; a second identification device for giving a second command as the command value and a third command as a compensation command to the drive device and determining a preceding switching time based on a response from the controlled object; a command value updating device for sequentially updating the command value based on a predetermined target trajectory; and a compensation command updating device for sequentially updating the compensation command based on the command value. The compensation command updating device updates the compensation command according to a moving direction after a reversal of the moving direction of the controlled object in the target trajectory.

Abstract: The present invention simplifies the processing for compensating an influence for a controlled quantity generated from shaping interference in motion control. A controller (10) as a model predictive control device computes an error between an actually measured value of a controlled quantity in a certain action cycle when shaping interfering is applied and a predictive value of the controlled quantity in the certain action cycle, i.e., the model predictive error, and corrects the predictive value in the action cycle after the certain action cycle by using the computed model predictive error.

Abstract: A controller (10) corrects a predictive value in a certain predictive error variation cycle by using the predictive error in a predictive error variation cycle prior to the certain predictive error variation cycle, wherein the predictive error variation cycle is a cycle of a time change of an error, i.e., predictive error, between an actually measured value and a predictive value of the controlled quantity.

Abstract: A simulator linkage device (10) makes a first simulator (300) and a second simulator (400) execute simulation periodically respectively at a sampling interval set by the user.

Abstract: A simulation apparatus includes a processor that executes a simulation of a control program executed on a controller. The controller controls motion of a machine that handles an object. The processor includes: a motion control device that controls motion of a virtual machine based on a motion command to move the virtual machine in a virtual space, with the virtual machine corresponding to the machine; a determination device that determines whether a volume of a region, where a work space in which the virtual machine works overlaps with the virtual object, is equal to or greater than a predetermined reference value, the virtual object being handled by the virtual machine and corresponding to the object; and a follow-up device that makes the virtual object follow the motion of the virtual machine based on the motion command when the volume is equal to or greater than the reference value.

Abstract: A control parameter tuning device for tuning a control parameter stored in a control system that controls a controlled object on the basis of a control parameter, includes a model updating module configured to update a controlled-object model that represents the controlled object when tuning a control parameter using data acquired when the controlled object operates; a first search module configured to repeatedly run simulations using the updated controlled-object model to search for a control parameter within a first range, and output a candidate for an optimal value for the control parameter; and a second search module configured to repeatedly operate the controlled object and search for a control parameter within a second range narrower than the first range and determined by the candidate output by the first search module and acquire operation results for the controlled object.