A tandem control system for a machine tool, according to the present invention, comprises: a numerical control unit; a main operation unit; a PLC which executes a control command via communication with the numerical control unit or the main operation unit; a servo drive which includes a notch filter unit and executes the control command from the PLC; a servo motor unit which is driven under the control of the servo drive; and a power conversion unit which is electrically connected to the servo motor unit and the servo drive so as to apply current to the servo motor unit, wherein the servo drive suppresses resonance due to the operation of the servo motor unit by controlling the application state of current transferred to the power conversion unit according to changes of notch &; filter coefficients calculated in real time at the notch filter unit.

A system includes a motor configured to be coupled to a non-rigid load and a control system disposed within, or communicatively coupled to, a drive system configured to control an operation of the motor. The control system includes a processor and a memory accessible by the processor. The memory stores instructions that, when executed by the processor, cause the processor to generate a smooth move input profile to control the operation of the motor based on inputs specifying a desired operation of the motor, apply a notch filter having a notch filter frequency to the smooth move input profile to produce a filtered smooth move input profile, and send a command to the drive system based on the filtered smooth move input profile, wherein the command is configured to adjust the operation of the motor.

A system includes a motor configured to be coupled to a non-rigid load and a control system disposed within, or communicatively coupled to, a drive system configured to control an operation of the motor. The control system includes a processor and a memory accessible by the processor. The memory stores instructions that, when executed by the processor, cause the processor to generate a smooth move input profile to control the operation of the motor based on inputs specifying a desired operation of the motor, apply a notch filter having a notch filter frequency to the smooth move input profile to produce a filtered smooth move input profile, and send a command to the drive system based on the filtered smooth move input profile, wherein the command is configured to adjust the operation of the motor.

A motor controller according to the present invention includes a position command unit for commanding the position of a driven unit, a compensation filter unit for compensating a position command, and a servo control unit for controlling the operation of a servomotor based on a compensated position command. The compensation filter unit includes an inverse characteristic filter for approximating an inverse characteristic of a transfer characteristic from a motor position to a mechanical position, and a high frequency cutoff filter for reducing a high frequency component of the position command. The inverse characteristic filter is a filter for reducing a gain at a mechanical resonance frequency ω.sub.0. The high frequency cutoff filter has a constant “a” times high frequency cutoff frequency aω.sub.0 using a constant “a” of 1 or more, with respect to the mechanical resonance frequency ω.sub.0 determined in the inverse characteristic filter.

Vibration of a machine end and an error of a moving trajectory are suppressed. A machine learning device performs machine learning of optimizing first coefficients of a filter provided in a motor controller that controls a motor and second coefficients of a velocity feedforward unit of a servo control unit provided in the motor controller on the basis of an evaluation function which is a function of measurement information after acceleration and deceleration by an external measuring instrument provided outside the motor controller, a position command input to the motor controller, and a position error which is a difference between the position command value and feedback position detection value from a detector of the servo control unit.

Methods and systems of controlling elevators including detecting a landing stop for an elevator car, measuring load information associated with the stop, controlling stopping of the elevator at the landing using a machine based on at least one of the detected landing and the measured load information and performing dynamic compensation control of a motion state of the elevator with a computing system and the elevator machine. The dynamic compensation control includes receiving motion state information related to at least one motion state of the elevator car at the computing system, receiving the landing and load information at the computing system, applying a filter to the received information and generating a first control signal, and producing a control output from the first control signal to control the elevator machine to minimize oscillations, vibrations, excessive position deflections, and/or bounce of the elevator car at the detected landing.

A system includes a motor configured to be coupled to a non-rigid load and a control system disposed within, or communicatively coupled to, a drive system configured to control an operation of the motor. The control system includes a processor and a memory accessible by the processor. The memory stores instructions that, when executed by the processor, cause the processor to generate a smooth move input profile to control the operation of the motor based on inputs specifying a desired operation of the motor, apply a notch filter having a notch filter frequency to the smooth move input profile to produce a filtered smooth move input profile, and send a command to the drive system based on the filtered smooth move input profile, wherein the command is configured to adjust the operation of the motor.

A control device includes: a processor wherein the processor is configured to generate one or more second control signals obtained by reducing at least one frequency component from a first control signal, output one control signal among the first control signal and the one or more second control signals, receive an instruction indicating execution of a reduction in the frequency component, generate a driving signal for driving a robot based on the control signal output from the processor and output the driving signal, output the first control signal when a first condition including non-input of the instruction indicating the execution of the reduction in the frequency component is satisfied, and output the second control signal when a second condition including input of the instruction indicating the execution of the reduction in the frequency component is satisfied.

Setting of parameters that determine filter characteristics is facilitated. Machine learning of optimizing the coefficients of a filter provided in a motor control device that controls rotation of a motor for a machine tool, a robot, or an industrial machine is performed on the basis of measurement information of an external measuring instrument provided outside the motor control device and a control command input to the motor control device.

A robot control device includes: a processor that is configured to execute computer-executable instructions so as to control a robot, wherein the processor is configured to: receive a first instruction from an operation device; display information regarding a target vibration frequency of a robot obtained based on vibration data indicating vibration of the robot in a certain time section on a display, when the processor receives the first instruction; set the target vibration frequency; generate a second control signal obtained by reducing the target vibration frequency from a first control signal based on the set target vibration frequency; and generate a driving signal to drive the robot based on the second control signal and output the driving signal.