A closed-loop control method based on a testing machine for accurately controlling the loosening of a bolt transverse load is disclosed. The testing machine for accurately controlling the loosening of the transverse load comprises a load generating motor, a load transfer mechanism, a load control motor and a load control mechanism. The control method of the present invention controls the load generating motor to drive the load transfer mechanism based on control commands, displacement signals collected by the displacement sensor and force signals collected by an S-shaped column type pressure sensor. The testing machine for the looseness of the bolt transverse load is essential in the aspect of exploring a looseness law of a bolt, and can be used to simulate load bearing conditions of the bolt. However, under the condition that some bolts bear constant force load transversely, the testing machine is not used or is inaccurate. The control method of the present invention can accurately control the load transverse load to be stable, especially can ensure constant transverse load and can also simulate the transverse load bearing situation of the bolt more accurately and more comprehensively.

Techniques for assessing and managing versions of a configuration file associated with a modular control system of a process plant are described. According to certain aspects, systems and methods device may access data associated with multiple versions of a configuration file, including a computing device version and a control version, as well as a last backup instance of the configuration file. The systems and methods may compare the versions and determine any discrepancies between the versions, including which of the versions is the most recent. The systems and methods may present information associated with the comparison to enable a user to select which of the versions may be need to be updated, resolved, or provided to the controller so that the modular control system may be properly configured.

In a method for operating a machine tool, a machine-specific flow resistance and a respective tool-specific flow resistance are ascertained for various tools. Tool-specific regulator parameters for regulating a pump of a coolant lubricant device are computed on the basis of the machine-specific flow resistance and the tool-specific flow resistance of the tool chucked in a tool spindle. Subsequently, the machine tool is operated using the tool-specific regulator parameters. In this way, a rapid and exact feed of coolant lubricant to the machining point of the respective chucked tool is enabled in a simple and flexible manner.

A controller is provided with a repeated control unit configured to calculate a position compensation value, based on a position command for each control period of a motor, a position deviation, which is the difference between the position command and a position of the motor, and a parameter for repeated control, and a machine learning device configured to predict the position compensation value calculated by the repeated control unit, and the machine learning device constructs a learning model so as to minimize an objective function based on the position command, the position deviation, and the position compensation value.

Provided is a control device for a production module having a data memory for storing operational settings of production modules and restrictions, which must be complied with by at least some of the operational settings. A settings management module is used to determine the external operational setting of an adjacent production module on which a local operational setting of the production module is dependent on the basis of a common restriction. An optimization module is also provided and has a local assessment function, which assesses the local operational setting, and a further assessment function which assesses noncompliance with the common restriction.

A controller for use in an additive manufacturing system including a consolidation device configured to consolidate material is provided. The controller is configured to receive a build file for a component including a plurality of build layers, wherein each build layer includes a component outer perimeter, at least one build layer generating function, at least one generating function variable, and at least one generating function constant. The controller is configured to generate at least one control signal to control a power output throughout at least one scan path of the consolidation device across the material for each build layer of the plurality of build layers, the at least one scan path generated based at least partially on the component outer perimeter, the at least one generating function, the at least one generating function variable, and the at least one generating function constant for each build layer.

The stockpiled number of maintenance components is more appropriately managed. A maintenance component management device (15) includes: an acquisition means (151) for acquiring, from a plurality of maintenance target devices (25) requiring maintenance using a maintenance component, information representing an operating state of each of the plurality of maintenance target devices (25); and a calculation means (152) for extracting information representing a factor of a main cause for performing maintenance using the maintenance component from the information representing the operating state thus acquired, and calculating a number of the maintenance components estimated as becoming necessary in order to maintain the plurality of maintenance target devices (25), based on the information representing the factor thus extracted.

A closed-loop control method based on a testing machine for accurately controlling the loosening of a bolt transverse load is disclosed. The testing machine for accurately controlling the loosening of the transverse load comprises a load generating motor, a load transfer mechanism, a load control motor and a load control mechanism. The control method of the present invention controls the load generating motor to drive the load transfer mechanism based on control commands, displacement signals collected by the displacement sensor and force signals collected by an S-shaped column type pressure sensor. The testing machine for the looseness of the bolt transverse load is essential in the aspect of exploring a looseness law of a bolt, and can be used to simulate load bearing conditions of the bolt. However, under the condition that some bolts bear constant force load transversely, the testing machine is not used or is inaccurate. The control method of the present invention can accurately control the load transverse load to be stable, especially can ensure constant transverse load and can also simulate the transverse load bearing situation of the bolt more accurately and more comprehensively.

A communication system may include a battery pack and a power tool. The power tool may be configured to obtain battery pack information from the battery pack, and transmit a validation request to a node of a blockchain network. The validation request may include the battery pack information and power tool information. The power tool may be configured to receive a blockchain authentication message from at least one node of the blockchain network. The blockchain authentication message may indicate whether the blockchain network validated the battery pack information and the power tool information. An electronic processor of the power tool may be configured to control an operation of the power tool based on the blockchain authentication message.

A precision shaft alignment system for establishing precise concentric axial alignment of a first shaft rotatably mounted and extending from a fixed unit and a second shaft extending from a variable position unit towards the first shaft includes a control and computing interface module, a pair of measuring means for precisely measuring at least one position of the first shaft and the second shaft and a jacking system for precisely aligning the shafts. The pair of measuring means is in communication with the control and computing interface module for transferring the at least one position of the first shaft and the second shaft for establishing precise concentric axial alignment of the first shaft and the second shaft. The jacking system is controlled by the control and computing interface module for precisely aligning the shaft.