Precise-robust position measurement of a linear motor based on the extended speed-up robust features algorithm and...

Area of Science:

• Engineering
• Optics
• Robotics

Background:

• Accurate position detection is crucial for linear motor control.
• Existing methods face challenges in robustness and real-time performance.

Purpose of the Study:

• To develop a robust and accurate linear motor displacement measurement method.
• To enhance the real-time position detection capabilities for linear motor movers.

Main Methods:

• A sawtooth stripe image was designed and optimized using spatial frequency and standard deviation.
• A line scan camera captured real-time signals, which were preprocessed with filling sampling.
• Singular value decomposition and an improved speed-up robust features algorithm were employed for sub-pixel displacement measurement.

Main Results:

• The sawtooth stripe image demonstrated superior robustness compared to fence and sinusoidal images.
• The proposed method achieved higher accuracy and better anti-interference performance.
• Real-time sub-pixel displacement measurement was successfully demonstrated.

Conclusions:

• The proposed method significantly improves the accuracy and robustness of linear motor mover position detection.
• The sawtooth stripe image and enhanced algorithm provide a reliable solution for real-time displacement measurement.
• This technique offers enhanced anti-interference capabilities for industrial applications.