Gravure Register Error Prediction for Stable Multi-Unit Printing Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing PID feedback control methods for intaglio printing struggle to achieve accurate and stable control of register errors due to factors like upstream color unit coupling, paper tension disturbances, transmission hysteresis, and slippage.
Innovation Solution
A method using an error prediction model to predict register errors in a current gravure unit based on its control volume and register error, as well as the control volume of previous gravure units, allowing for dynamic adjustment of the control volume to minimize register errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If PID feedback control is used to control rotational velocity of gravure roller, then control system is simple to implement, but control accuracy and stability are insufficient due to upstream color unit coupling, paper tension disturbance, transmission hysteresis and slippage
Solution Approach 1:
The patent applies preliminary action by predicting the register error of the current gravure unit at the second moment based on control volumes and register errors at the first moment, before the actual printing occurs. This allows the control system to proactively adjust the control volume to prevent register errors rather than merely reacting to them, thereby improving manufacturing precision without requiring overly complex real-time control mechanisms
Solution Approach 2:
The patent implements feedback control by using the predicted register error to determine the control volume at the second moment. The system continuously monitors control volumes of current and previous gravure units, predicts register errors, and adjusts control parameters accordingly. This closed-loop feedback mechanism enables accurate and stable register error control while managing system complexity through systematic information utilization
2Reliability
If PID control is used, then implementation is straightforward, but control stability deteriorates due to transmission hysteresis and slippage in the printing system
Solution Approach 1:
The control system performs preliminary prediction of register errors at the second moment based on historical data from the first moment, including control volumes and register errors of current and previous gravure units. This predictive approach allows the system to anticipate and compensate for stability-deteriorating factors like transmission hysteresis and slippage before they manifest, thereby improving reliability without requiring excessively complex control algorithms
Solution Approach 2:
The system establishes a feedback mechanism where the predicted register error directly influences the determination of control volume at the second moment. By continuously feeding back information about control volumes and register errors from previous moments and units, the system maintains stable control performance while managing algorithmic complexity through structured information processing
3Manufacturing precision
If traditional control methods are used, then system structure remains simple, but manufacturing precision deteriorates due to inability to accurately characterize coupling effects between gravure units
Solution Approach 1:
The error prediction model implements comprehensive feedback by incorporating control volumes and register errors from both the current gravure unit and previous gravure units. This multi-source feedback mechanism enables the system to accurately characterize coupling effects between gravure units, thereby improving manufacturing precision. The model manages complexity by systematically organizing and processing this feedback information through a structured prediction framework
Solution Approach 2:
The prediction model performs preliminary characterization of register errors at the second moment based on historical data from the first moment, including control volumes and register errors. This proactive prediction allows the system to account for coupling effects between gravure units before they result in actual printing errors, improving manufacturing precision without requiring overly complex real-time intervention mechanisms
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method for controlling a register error, an electronic device, and a storage medium are provided. The method includes: acquiring a control volume and a register error of a current gravure unit at a first moment, the control volume being used for indicating a set value of a rotational angular velocity when the gravure unit is controlled to operate; acquiring a control volume of at least one previous gravure unit at the first moment, the previous gravure unit being located prior to the current gravure unit as per a printing sequence; predicting, via an error prediction model, a register error of the current gravure unit at a second moment based on the control volume and the register error of the current gravure unit at the first moment, and the control volume of the at least one previous gravure unit at the first moment, to obtain a predicted register error of the current gravure unit at the second moment, the second moment following the first moment; and determining a control volume of the current gravure unit at the second moment based on the predicted register error of the current gravure unit at the second moment. The method can reduce the register error of an intaglio printing process.