Speed Planning and Imputation Technology Development of CNC System
DOI: 10.23977/jeeem.2023.060402 | Downloads: 5 | Views: 338
Author(s)
Zhigang Liu 1,2, Qingjian Liu 1,2, Zheng Li 1,2, Xiaoyu Dong 1,2
Affiliation(s)
1 Tianjin Key Laboratory for Advanced Electromechanical System Design and Intelligent Control, Tianjin University of Technology, Tianjin, 300384, China
2 National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Technology, Tianjin, 300384, China
Corresponding Author
Zhigang LiuABSTRACT
In order to better carry out the research of the integrated design of the speed planning of CNC system, it is necessary to systematically understand and learn the existing representative work. The methods and technical progress of speed planning and insertion in CNC machining, including S curve planning algorithm, trapezoidal planning algorithm, parameter curve speed control algorithm, NURBS curve fitting algorithm and adaptive insertion algorithm. The existing methods have the contradiction between machining accuracy and efficiency, and the calculation amount required for the accurate prediction of the deceleration point of speed planning is still large. With the rapid development of technologies such as artificial intelligence and machine learning, intelligent algorithms can gradually improve the effect of speed planning through learning and optimization, and make adaptive adjustment according to the real-time feedback in the processing process, which will further improve the processing efficiency and precision.
KEYWORDS
Numerical control system, speed planning, interpolation algorithmCITE THIS PAPER
Zhigang Liu, Qingjian Liu, Zheng Li, Xiaoyu Dong, Speed Planning and Imputation Technology Development of CNC System. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 10-15. DOI: http://dx.doi.org/10.23977/jeeem.2023.060402.
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