A control device including a simulation unit to simulate behaviors of a virtual mechanical system, and a drive control unit to control driving of servomotors based on the simulation results, is provided. The virtual mechanical system includes a first drive module, a first main shaft module connected to the first drive module, and a plurality of power transmission subsystems, each of which is connected to the first main shaft module and is associated with one of the servomotors respectively. Each of the power transmission subsystems includes an output module. The servomotor associated with the power transmission subsystem is driven according to a simulated result of input into the output module.

A tool machine servo control simulation device and an establishing method of structure model are provided. The tool machine servo control simulation device includes a structure model and a processor. The structure model includes a position function, a velocity function and a drive property parameter. The processor includes a control signal receiver and a simulation component. The control signal receiver is used for receiving a servo command. The simulation component, response to the servo command, generates a simulation path according to the position function, the velocity function and the drive property parameter.

A machining simulation apparatus performs a machining simulation in a machine tool by controlling a relative position between a tool model and a material model to perform a machining of the material model with the tool model. The machining simulation is performed with an input of at least one of a position command and a position detection value. The position command and the position detection value are obtained from the machine tool as log data corresponding to a time. A result of the machining simulation is displayed.

A positioning control device includes a position-command generation unit to generate a position command by which a shape of an acceleration in an accelerating section and a decelerating section is determined on the basis of a position command parameter, a drive control unit to drive a motor such that a detected position value of the motor or a control target follows the position command, an evaluation unit to calculate an evaluation value regarding positioning performance on the basis of a detected position value of the motor or the control target during execution of positioning control on the control target, and a learning unit to obtain a learning result by learning a relation between the position command parameter and the evaluation value when positioning control is executed plural times, while changing each of shapes of an acceleration in an accelerating section and a decelerating section independently.

The present invention reduces position data to a quantity which can be processed in physical simulation, to thereby stabilize processing time of the physical simulation and prevent a loss of a real-time property. Provided is a selection device for selecting position data indicating a path of a movable part included in an industrial machine when executing physical simulation that treats the movable part as an observation target, the selection device comprising: a holding unit that holds the position data in association with time-series information; a range determination unit that determines a lower limit time and an upper limit time indicating a range for the position data from among the position data held by the holding unit; a number-of-pieces-of-data determination unit that determines the number of pieces of position data to be selected from among the position data in the range in consideration of a processing load of the physical simulation; and a selection unit that selects the set number of pieces of position data from among the position data in the range.

A program causes a simulation device to function as an acquirer that acquires an execution program executable by a programmable controller and system configuration information indicating a configuration of a factory automation system, and a simulator that performs simulations of an operation of the programmable controller and an operation of the factory automation system by synchronizing, in predetermined cycles, a first simulation time of a virtual controller corresponding to the programmable controller and a second simulation time of a virtual system built based on the system configuration information and causes the virtual system to operate based on a virtual output acquired from the virtual controller executing the execution program.

A program causes a simulation device to function as an acquirer that acquires an execution program executable by a programmable controller and system configuration information indicating a configuration of a factory automation system, and a simulator that performs simulations of an operation of the programmable controller and an operation of the factory automation system by synchronizing, in predetermined cycles, a first simulation time of a virtual controller corresponding to the programmable controller and a second simulation time of a virtual system built based on the system configuration information and causes the virtual system to operate based on a virtual output acquired from the virtual controller executing the execution program.

A digital twin of a facility defines relationships between different components of the facility and a system of record for the facility. Information from different monitoring systems for the facility are related to events by the digital twin of the facility. Historical operation information for the facility is used to train a machine learning model. The trained machine learning model facilitates operations at the facility by providing descriptive information, predictive information, and/or prescriptive information on the operations at the facility.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for simulating industrial facilities for control. One of the methods includes. at each of a plurality of time steps during a task episode: receiving, from a computer simulator of an industrial facility, measurements representing a current state of the facility; generating, from the measurements, an observation; providing the observation as input to a control policy for controlling the facility; receiving, as output, an action for controlling one or more setpoints of the facility; generating, from the action, one or more control inputs for the one or more setpoints of the facility; and providing, as input to the simulator, (i) the control inputs and (ii) current values for one or more configuration parameters of the simulator to cause the simulator to generate, as output, new measurements representing a new state of the facility.