Articles | Volume 16, issue 1
https://doi.org/10.5194/ms-16-51-2025
https://doi.org/10.5194/ms-16-51-2025
Research article
 | 
24 Jan 2025
Research article |  | 24 Jan 2025

A predefined-time radial basis function (RBF) neural network tracking control method considering actuator faults for a new type of spraying robot

Jingang Zhao, Yinghui Li, Yiwen Li, Binbin Pei, Zhilong Yu, and Zehong Dong

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Cited articles

Al Juboori, A. M., Hussein, M. T. and Qanber, A. S. G.: Swing-up control of double-inverted pendulum systems, J. Mech. Sci., 15, 47–54, https://doi.org/10.5194/ms-15-47-2024, 2024. 
Becerra, H. M., Vázquez, C. R., Arechavaleta, G. and Delfin, J.: Predefined-time convergence control for high-order integrator systems using time base generators, J. IEEE T. Contr. Syst. T., 26, 1866–1873, 10.1109/TCST.2017.2734050, 2018. 
Chen, W., Li, X., Ge, H., Wang, L. and Zhang, Y.: Trajectory planning for spray painting robot based on point cloud slicing technique, J. Electronics, 9, 908, https://doi.org/10.3390/electronics9060908, 2020. 
Deng, X., Chen, H. and Li, L.: Improved Fixed Time Preset Performance Sliding Mode Control for Robotic Manipulator, IEEE, ICIT 2024, 1–6, 2024. 
Fei, J. and Wang, T.: Adaptive fuzzy-neural-network based on RBFNN control for active power filter, J. Int. J. Mach. Learn. Cyb., 10, 1139–1150, https://doi.org/10.1007/s13042-018-0792-y, 2019. 
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Short summary
This paper focuses on the PRC method for unknown Euler–Lagrange systems with actuator faults and any bounded initial value. The attitude adjustment mechanism of the self-designed spraying robot is equivalent to a two-joint cooperative robot system. The convergence speed was improved to be within 1s. By comparing with traditional control methods, the improvement in control accuracy and convergence speed has been verified.