Active controller design for precision computerized numerical control machine tool systems. Issue 3 (December 2019)

• Record Type: Journal Article
• Authors: Fu, Cheng-Biao; Tian, An-Hong; Li, Yu-Chung; Yau, Her-Terng
• Is Part Of: Journal of low frequency noise, vibration, and active control. Volume 38:Issue 3/4(2019)
• Page Start: 1149
• Page End: 1159
• Publication Date: 2019-12
• Subjects: Particle swarm optimization -- proportional-integral-derivative control -- quantitative feedback design theory -- sliding mode control -- tri-axis computerized numerical control machine; Vibration -- Periodicals; Noise -- Periodicals; Sound -- Periodicals; Damping (Mechanics) -- Periodicals; Damping (Mechanics); Noise; Sound; Vibration; Periodicals; 620.205
• DOI: 10.1177/1461348418797239
• Languages: English
• ISSNs: 1461-3484

Abstract

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.