Cong, B., Schlarp, J., & Schitter, G. (2022). Iterative Learning Control for the Active Error Correction of Polygon Mirror Based Laser Scanning. In Proceedings of 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 522–527). https://doi.org/10.1109/AIM52237.2022.9863305
Proceedings of 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
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Date (published):
2022
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Event name:
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
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Event date:
11-Jul-2022 - 15-Jul-2022
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Event place:
Japan
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Number of Pages:
6
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Peer reviewed:
Yes
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Keywords:
Iterative Learning Control; Polygon Mirror; Laser Scanner; Active Error Correction
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Abstract:
Polygon mirror (PM) based scanners suffer from scan line wobbles caused by facet variant pyramidal errors. The active error correction method uses a fast steering mirror (FSM) to adjust the laser reflection angle actively such that the wobble error can be compensated on the scan surface. This method requires the FSM to follow a fast varying and repetitive reference, which is challenging for the traditional feedback and feedforward control due to limited dynamic bandwidth and model accuracy. This paper proposes to use iterative learning control (ILC) for controlling the FSM, which significantly improves the correction effectiveness and reduces the line wobble for PM scanning systems.
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Research Areas:
Mathematical and Algorithmic Foundations: 50% Sensor Systems: 50%
