Open AccessActive controller design for precision computerized numerical control machine tool systems
Author(s) -
Fu Cheng-Biao,
Tian An-Hong,
Li Yu-Chung,
Yau Her-Terng
Publication year - 2019
Publication title -
journal of low frequency noise, vibration and active control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.419
H-Index - 25
eISSN - 2048-4046
pISSN - 1461-3484
DOI - 10.1177/1461348418797239
Subject(s) - control theory (sociology) , matlab , particle swarm optimization , machine tool , servomotor , computer science , controller (irrigation) , control engineering , motion control , transfer function , servomechanism , numerical control , control system , servo , sliding mode control , servo control , control (management) , engineering , algorithm , artificial intelligence , robot , machining , physics , electrical engineering , nonlinear system , quantum mechanics , biology , operating system , mechanical engineering , agronomy
The control of a tri-axis computerized numerical control machine tool platform, which is driven by an AC servo motor is discussed in this paper. To establish a system model, the particle swarm optimization algorithm was used to transform the X–Y platform of a machine tool into a transfer function before simulation and verification of digital control was done using MATLAB. The control methods used in this study include proportional-integral-derivative control, quantitative feedback design theory and sliding mode control. They were realized with C# and the errors of motion trajectories generated by the controllers were observed. It was concluded that of the three methods studied, sliding mode control produced the lowest error rate.
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