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 method for modelling a coating process including a plurality of coating parameters, includes the steps of: dispensing, by the coating process and during K work cycles, a coating on each of K pieces of objects to thereby obtain K pieces of coatings; recording, during each of the K work cycles, coating variable values of p coating parameters at M instances to thereby obtain recording results; and measuring at least one coating property at m locations of each of the K pieces of coatings to thereby obtain measurement results. The method is characterized by the step of determining a digital twin of the coating process on the basis of the recording results and the measurement results. By using results from a large amount of classical quality control measurements together with corresponding coating parameter information, a digital twin of the coating process can be determined through statistical processing of such big data. The digital twin) may be used either for automatic adjustment of the coating parameters to obtain an improved coating quality, for prediction of the coating quality right after a work cycle to obtain an improved quality control, or for both.

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.

The invention relates to a method and to system for producing blades (1) of a machine interacting with a fluid, in particular a fluid-driven machine, in particular a wind turbine, comprising an examination device (19) for determining geometric deviations (A, B, C, D, E, F) from a target shape for one or more shaped blades (1), a device (21) for determining a deviation evaluation of one or more determined geometric deviations from the target shape for each blade with respect to the aerodynamic and/or mechanical consequences thereof, a device (23) for assigning one or more corrective measures (100, 101, 102), each including an expenditure evaluation (100″, 101″, 102″), to one or more determined geometric deviations (A, B, C, D, E, F) from the target shape for each blade, and a linking device (24) for linking a deviation evaluation that was determined for one or more of the determined geometric deviations to the expenditure evaluation for one or more determined corrective measures and for determining the corrective measures to be carried out from the result of the linkage.

This invention concerns apparatus for generating instructions for machines of a manufacturing chain used to manufacture a workpiece. The apparatus comprising a processor arranged to receive a model based definition (MBD) of a workpiece including geometric dimensions and tolerances; receive inputs setting an additive build design for building the workpiece based upon the geometric dimensions; generate additive instructions for an additive manufacturing machine of the manufacturing chain based upon the additive build design; determine a prospective intermediate workpiece product expected from an additive build in accordance with the additive build design; determine differences between the prospective intermediate workpiece product and the model based definition of the workpiece; and generate further instructions for at least one further machine of the manufacturing chain based upon the differences.

A method for correcting tool parameters of a machine tool for machining workpieces includes recording measurement values of measured characteristics as actual values of at least one workpiece machined with the machine tool. The measurement values are compared with the default set values of the workpiece. The measurement values of at least two measured characteristics are recorded from at least two parameters of at least one measured characteristic and/or from at least one measured characteristic and from at least one parameter. An average for a tool correction value is calculated from the measurement values and the corresponding set values, with which a correction of the machine tool is performed.

A method, system, and computer program product for optical inspection of objects. The method projects an optical test line on a device under test. A frame is captured of the optical test line projected onto the device under test. The method provides a reference line for the device under test and compares the reference line and the optical test line within the frame. The method generates a visual quality determination based on the comparison of the reference line and the optical test line.

A Self-monitoring manufacturing system adapted to produce at least one object. The system includes at least a first processing facility adapted to perform a respective first processing step with the object, and a production control unit, wherein the production data comprises nominal pre-processing object data. A production monitoring unit for checking a pre-processing object state of the object is arranged, such unit being adapted to obtain actual property data of the object in-line of the production in-advance of applying the first processing step, to generate deviation data by comparing the actual property data with the production data for the first processing step, and to provide the deviation data for performing the first production step with the first processing facility in deviation-adjusted manner.

The invention relates to a method (100) for controlling film production, in which at least one film is produced according to at least one formula information (R), the following steps being carried out: initiation of execution (210) of a film production process such that a film is produced on the basis of a specific formulation information (R); determination of monitoring information (I) during the execution (210) of the process; determination of at least one fingerprint (F) on the basis of the specific formula information (R) and on the basis of the monitoring information (I) such that the execution (210) of the process is characterised on the basis of the fingerprint (F); and comparison of the fingerprint (F) with a control matrix (M) such that at least one comparative result is determined in order to control the film production on the basis of the control matrix (M) as an evaluation basis.

A method of controlling a manufacturing process having a machine to form a material in to a component. The method comprises the steps of establishing an initial set of operating parameters for the machine, producing an initial component from the machine, inspecting the component to determine its acceptability relative to a desired component, determining a variation in the operating parameters to improve the acceptability of the component, effecting changes in the operating parameters and inspecting subsequent components to determine their acceptability.