Hot Rolling Mill Setpoint Offsets for Precise Sensitivity Control
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Solution Overview
Problem
Existing methods for determining the sensitivity of target variables in hot rolling mills are imprecise and prone to errors due to stochastic dependencies on the actual state of the rolling material, leading to incorrect adjustments and suboptimal material properties.
Innovation Solution
An operating method for a hot rolling mill that uses a control device to determine definitive setpoints for particular target variables with offsets independent of primary data and other target variables, allowing for the determination of sensitivity by statistically independent means.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to determine sensitivity of target variables, then the process is simple, but the precision and reliability of sensitivity determination deteriorates due to stochastic dependencies
Solution Approach 1:
The control device determines definitive setpoints with offsets before processing the rolling material, based on statistically independent characteristics. This preliminary determination of sensitivity relationships eliminates the need for complex real-time adjustments and removes stochastic dependencies from the sensitivity determination process.
Solution Approach 2:
The patent introduces an intermediary computational layer that processes the relationship between operating variables and target variables through statistically independent characteristics. This intermediary mechanism (the sensitivity determination based on offsets) mediates between the control inputs and outputs, providing precise sensitivity values without direct stochastic interference.
2Manufacturing precision
If definitive setpoints with offsets are used, then sensitivity determination precision improves, but the control device complexity increases
Solution Approach 1:
The control device changes the parameter representation by using definitive setpoints with offsets instead of raw setpoints. This parameter transformation enables precise sensitivity determination while the offsets are calculated based on statistically independent characteristics, making the complexity manageable through mathematical relationships rather than physical complexity.
3Reliability
If sensitivity is determined from statistically independent characteristics, then reliability of control improves, but the computational requirements increase
Solution Approach 1:
The control device extracts only the statistically independent characteristics from the complex relationship between operating variables and target variables. By taking out and focusing only on the independent characteristics needed for sensitivity determination, the computational requirements are reduced while maintaining high reliability.
Data Source
AI summary
A control device for a section of a hot rolling mill is supplied with respective primary data for a plurality of rolling materials and respective preliminary target values for the target variables of the respective rolling material. The respective primary data describes the respective rolling material before being supplied to the section of the hot rolling mill. The respective preliminary target values of the target variables describe a desired target state of the respective rolling material after passing through the section of the hot rolling mill. At least one of the target variables is a particular target variable, whereby the control device determines a respective final target value in such a way that it changes the respective preliminary target value by a respective offset. The respective offset is determined independently of the primary data and the other particular target variables and the normal target variables for the respective rolling material.