Articles | Volume 12, issue 1
https://doi.org/10.5194/ms-12-433-2021
https://doi.org/10.5194/ms-12-433-2021
Research article
 | 
23 Apr 2021
Research article |  | 23 Apr 2021

Parameter tuning of robust adaptive fuzzy controller for 3D elliptical vibration-assisted cutting

Yongsheng Du, Mingming Lu, Hao Wang, Jiakang Zhou, and Jieqiong Lin

Viewed

Total article views: 1,095 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
853 215 27 1,095 26 29
  • HTML: 853
  • PDF: 215
  • XML: 27
  • Total: 1,095
  • BibTeX: 26
  • EndNote: 29
Views and downloads (calculated since 23 Apr 2021)
Cumulative views and downloads (calculated since 23 Apr 2021)

Viewed (geographical distribution)

Total article views: 1,018 (including HTML, PDF, and XML) Thereof 1,018 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
To improve the control accuracy, dynamic and static characteristics of the system need to be tuned. In this paper, we use a glowworm algorithm with an improved adaptive step size to tune the parameters of a robust adaptive fuzzy controller. Finally, the workpieces of three different materials are cut with two different cutting methods. The study revealed that the surface roughness value is reduced by 20 %–32 %, which further verifies the effectiveness of the optimal controller’s parameters.