Paper
4 December 2018 The method and implementation of automatic, fuzzy surface temperature control for laser processing
L. Płonecki, G. Witkowski, K. Mulczyk, P. Kurp
Author Affiliations +
Proceedings Volume 10974, Laser Technology 2018: Progress and Applications of Lasers; 109740S (2018) https://doi.org/10.1117/12.2516664
Event: Thirteenth Symposium on Laser Technology, 2018, Jastarnia, Poland
Abstract
The article presents a developed, proprietary system of automatic temperature control of the workpiece surface for a laser processing. In the control system, a regulator based on fuzzy logic algorithms has been developed. The system is based on a RT real time system with a frequency of 1 kHz. In order to implement the system, the reconfigurable NI CompactRio microprocessor system together with the appropriate input modules was used. The control application was created based on the LabView software. The feedback signal for the control system was realized with usage of a fiber optic pyrometer observing the area of the laser beam. In order to implement the system in the existing, dedicated control system of the Trumpf TruCell 1005 laser device, a number of integration works were carried out. During the preliminary tests, the settings of the developed regulator were selected empirically and the correctness of its operation was checked for various working conditions. The article also presents the time series of the temperature control value and the control error combined with the course of the modulated laser device power during the laser machining process.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Płonecki, G. Witkowski, K. Mulczyk, and P. Kurp "The method and implementation of automatic, fuzzy surface temperature control for laser processing", Proc. SPIE 10974, Laser Technology 2018: Progress and Applications of Lasers, 109740S (4 December 2018); https://doi.org/10.1117/12.2516664
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KEYWORDS
Control systems

Laser processing

Fuzzy logic

Control systems design

Actuators

Beam controllers

Error control coding

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