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

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Latest update: 21 May 2024
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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.