ADAPTIVE SYNCHRONOUS SLIDING MODE CONTROLLER FOR ROBOT MANIPULATORS | Điển | TNU Journal of Science and Technology

ADAPTIVE SYNCHRONOUS SLIDING MODE CONTROLLER FOR ROBOT MANIPULATORS

About this article

Received: 02/01/24                Revised: 29/01/24                Published: 31/01/24

Authors

1. Nguyen Duc Dien Email to author, University of Economics-Technology for Industry
2. Lai Khac Lai, TNU - University of Technology
3. Vu Viet Thong, University of Economics-Technology for Industry

Abstract


Improving the quality of trajectory tracking for robot manipulators is always an attractive topic in the research community. This is a challenging problem because robot manipulators are complex nonlinear systems and are often subject to fluctuations in loads and external disturbances. This paper proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for robot manipulators. Firstly, the synchronous tracking errors, cross synchronization errors, and sliding surfaces are defined, and the synchronization tracking error dynamics are constructed. Secondly, a control law is proposed, in which the unknown component of the model is approximated online by a neural network, and the parameters of the switching component are determined by fuzzy logic based on the values of synchronous tracking errors. The proposed controller ensures synchronous tracking and approximation errors are UUB (Ultimately Uniformly Bounded). Finally, the performance of the proposed algorithm is verified by comparative simulation on Matlab-Simulink. The simulation results show the effectiveness of the proposed controller with small synchronous tracking errors about 10-6, fast convergence about 1s, and significantly reduced chattering phenomenon.

Keywords


Robot manipulators; Synchronization tracking error; Sliding mode control; Adaptive control; Neural networks

References


[1] W. He, Z. Li, and C. P. Chen, "A survey of human-centered intelligent robots: issues and challenges," IEEE/CAA Journal of Automatica Sinica, vol. 4, no. 4, pp. 602-609, 2017.

[2] F. L. Lewis, D. M. Dawson, and C. T. Abdallah, Robot Manipulator Control Theory and Practice. CRC Press, 2003.

[3] J. Liu and X. Wang, Adaptive sliding mode control for mechanical systems. Springer, 2011.

[4] Y. Wang, Z. Zhang, C. Li, and M. Buss, "Adaptive incremental sliding mode control for a robot manipulator," Mechatronics, vol. 82, p. 102717, 2022.

[5] M. Van and S. S. Ge, "Adaptive fuzzy integral sliding-mode control for robust fault-tolerant control of robot manipulators with disturbance observer," IEEE Transactions on Fuzzy Systems, vol. 29, no. 5, pp. 1284-1296, 2020.

[6] V. T. Yen, W. Y. Nan, and P. V. Cuong, "Robust adaptive sliding mode neural networks control for industrial robot manipulators," International Journal of Control, Automation Systems, vol. 17, pp. 783-792, 2019.

[7] N. X. Quynh, W. Y. Nan, and V. T. Yen, "Design of a robust adaptive sliding mode control using recurrent fuzzy wavelet functional link neural networks for industrial robot manipulator with dead zone," Intelligent Service Robotics, vol. 13, pp. 219-233, 2020.

[8] Q. V. Doan, T. D. Le, Q. D. Le, and H.-J. Kang, "A neural network–based synchronized computed torque controller for three degree-of-freedom planar parallel manipulators with uncertainties compensation," International Journal of Advanced Robotic Systems, vol. 15, no. 2, 2018, Art. no. 1729881418767307.

[9] A. Ashagrie, A. O. Salau, and T. Weldcherkos, "Modeling and control of a 3-DOF articulated robotic manipulator using self-tuning fuzzy sliding mode controller," Cogent Engineering, vol. 8, no. 1, 2021, Art. no. 1950105.

[10] T. D. Le and Q. V. Doan, "Fuzzy adaptive synchronized sliding mode control of parallel manipulators," in Proceedings of the 2018 4th International Conference on Mechatronics and Robotics Engineering, 2018, pp. 102-107.

[11] K. Shao, J. Zheng, C. Yang, F. Xu, X. Wang, and X. Li, "Chattering-free adaptive sliding-mode control of nonlinear systems with unknown disturbances," Computers Electrical Engineering, vol. 96, 2021, Art. no. 107538.

[12] M. Szuster and P. Gierlak, "Approximate dynamic programming in tracking control of a robotic manipulator," International Journal of Advanced Robotic Systems, vol. 13, no. 1, 2016, Art. no. 16.

[13] J. Liu, Intelligent Control Design and MATLAB Simulation. Springer, 2018.




DOI: https://doi.org/10.34238/tnu-jst.9522

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