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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Cited articles

Dong, G., Wang, L., Li, C., and Yu, Y.: Investigation on ultrasonic elliptical vibration boring of deep holes with large depth–diameter ratio for high-strength steel 18Cr2Ni4WA, Int. J. Adv. Manuf. Tech., 108, 1527–1539, https://doi.org/10.1007/s00170-020-05531-3, 2020. 
Gandomi, A. H., Yang, X.-S., and Alavi, A. H.: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems, Eng. Comput., 29, 17–35, https://doi.org/10.1007/s00366-011-0241-y, 2011. 
García-Gutiérrez, G., Arcos-Aviles, D., Carrera, E. V., Guinjoan, F., Motoasca, E., Ayala, P., and Ibarra, A.: Fuzzy Logic Controller Parameter Optimization Using Metaheuristic Cuckoo Search Algorithm for a Magnetic Levitation System, Appl. Sci., 9, 2458, https://doi.org/10.3390/app9122458, 2019. 
Jieqiong, L., Yingchun, L., and Xiaoqin, Z.: Tool path generation for fabricating optical freeform surfaces by non-resonant three-dimensional elliptical vibration cutting, P. I. Mech. Eng. C-J. Mec., 228, 1208–1222, https://doi.org/10.1177/0954406213502448, 2013. 
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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.