E3S Web Conf.
Volume 140, 2019International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2019)
|Number of page(s)||4|
|Section||Development of New Perspective Technological Products|
|Published online||18 December 2019|
Synthesis of the neural coordinated control algorithm for the model of CNC machine
Peter the Great St. Petersburg Ploytechnic University, Saint-Petersburg, Russia
2 North-West Open University, Yakornaya 9a, 195027 Saint-Petersburg, Russia
* Corresponding author: firstname.lastname@example.org
Objectives: Increase quality factor of the CNC machine model in comparison with the Uncoupled System by synthesizing Neural Coordinated Control. Synthesis: We synthesized the Neural Coordinated Control algorithm based on the coordinated control algorithm and neural control. Experiment: Using mathematical modeling we compared the synthesized algo-rithms and the uncoupled system using the following criteria: contour error, contour speed error, and score function. Results: The four NCC algorithms were synthesized and trained. The experiment shows that synthesized algorithms have better score function values and better quality factor values in comparison to the reference Uncoupled System. Conclusion: The quality factor of the CNC machine model was successfully in-creased by using the synthesized Neural Coordinated Control algorithm.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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