Articles | Volume 12, issue 1
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,, 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,, 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,, 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,, 2013. 
Karakuzu C.: Parameter Tuning of Fuzzy Sliding Mode Controller Using Particle Swarm Optimization, International journal of innovative computing information and Control, 6, 4755–4770, 2010. 
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.