Roll eccentricity extraction and compensation based on MPSO-WTD and ITD.

Area of Science:

• Materials Science and Engineering
• Mechanical Engineering
• Signal Processing

Background:

• Cold rolling processes demand high thickness accuracy.
• Roll eccentricity causes periodic disturbances in strip thickness.
• Existing methods struggle with non-stationary signals and variable rolling speeds.

Purpose of the Study:

• To propose a robust method for extracting roll eccentricity signals.
• To improve the accuracy of automatic gauge control (AGC) in cold rolling.
• To effectively compensate for strip thickness variations caused by roll eccentricity.

Main Methods:

• Utilizing modified particle swarm optimization and wavelet threshold denoising (MPSO-WTD) for signal preprocessing.
• Employing intrinsic time-scale decomposition (ITD) to decompose signals into proper rotational components (PRCs).
• Integrating an encoder for real-time compensation frequency determination under variable rolling speeds.

Main Results:

• The proposed MPSO-WTD with ITD method effectively removes interference signals.
• Roll eccentricity signals are accurately extracted even with varying rolling speeds.
• An average improvement of 62.3% in roll eccentricity compensation was achieved.

Conclusions:

• The developed method significantly enhances the accuracy of cold rolling processes.
• The combined approach of MPSO-WTD and ITD offers a powerful solution for roll eccentricity compensation.
• This technique is crucial for achieving high-precision strip thickness control.