Spindle Control Device for Yarn Breakage Trend Classification
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Solution Overview
Problem
Existing spindle control methods for spinning machines have low responsiveness to yarn breakages, as they primarily reduce spindle rotation speed based on accumulated breakage values without dynamically adjusting to changing trends, leading to inadequate real-time control.
Innovation Solution
A method and device that divide the spinning period into intervals, detect yarn breakages, calculate differences between actual and target breakages, classify trends in these differences, and adjust the target spindle rotation speed based on these classifications to enhance responsiveness to yarn breakages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the spindle rotation speed is reduced when the accumulated number of yarn breakages exceeds a predetermined value, then yarn breakages can be prevented, but the responsiveness to yarn breakages is low
Solution Approach 1:
The spinning period is divided into multiple intervals, and the control is applied selectively to specific intervals where yarn breakages occur frequently, rather than uniformly reducing speed across the entire spinning period. This segmented approach enables faster, more targeted response to breakage events.
Solution Approach 2:
The spindle rotation speed is dynamically adjusted based on real-time breakage data and changing trends analysis. The control system continuously monitors breakage patterns and modifies speed settings adaptively, transitioning from static predetermined thresholds to dynamic, trend-based control that responds promptly to changing conditions.
2Reliability
If the spindle rotation speed is controlled based on accumulated breakage values, then yarn breakages can be reduced, but the control responsiveness to changing trends is insufficient
Solution Approach 1:
The system implements feedback control by continuously monitoring yarn breakages in each interval, comparing actual breakage counts against target values, and using this feedback to dynamically adjust spindle rotation speed. The feedback loop includes trend analysis that detects changing patterns and triggers appropriate control actions, enabling the system to adapt to evolving breakage conditions.
Solution Approach 2:
The control system changes operational parameters (spindle rotation speed) based on detected trends in breakage data. When trends indicate increasing breakage risk, the system adjusts speed parameters dynamically. This parameter change approach allows the system to respond flexibly to changing conditions while maintaining production efficiency.
Data Source
Figure 1
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Figure 4~5B
AI summary
A method of controlling a spindle (1) of a spinning machine in which the spindle (1) is provided for each of a plurality of spindle stations, includes a setting process (S1) setting a target rotation speed and a target number of yarn breakages for each interval, a detection process (S2) detecting a number of yarn breakages for the plurality of spindle stations, a calculation process (S3) calculating a difference between the number of yarn breakages and the target number of yarn breakages, a classification process (S4) classifying a changing trend in the difference for multiple intervals, a change process (S5) changing the target spindle rotation speed applied to the next interval, and a control process (S6) controlling the spindle rotation speed in the next interval based on a changed target spindle rotation speed during the spinning process.