Trajectory tracking of robotic manipulators based on fast nonsingular terminal sliding mode

被引:0
|
作者
Wang W. [1 ,2 ]
Zhao J.-T. [1 ,2 ]
Hu K.-R. [3 ]
Guo Y.-C. [4 ]
机构
[1] School of Aerospace Engineering, Beijing Institute of Technology, Beijing
[2] Beijing Key Laboratory of UAV Autonomous Control Technology, Beijing Institute of Technology, Beijing
[3] Research and Design Institute, Northwest Industrial Group, Xi'an
[4] Quality Department, Northwest Industrial Group, Xi'an
关键词
Automatic control technology; Finite-time convergence; Manipulator control; Nonsingularity; Terminal sliding mode control theory;
D O I
10.13229/j.cnki.jdxbgxb20181083
中图分类号
学科分类号
摘要
To drive the robotic manipulator tracking the desired trajectory, a novel modern control method based on the nonsingular terminal sliding mode is designed in this paper. Combining the traditional fast terminal sliding mode and the nonsingular terminal sliding mode, the proposed control method possesses the characteristics of rapidity, nonsingularity, finite-time convergence and strong robustness. The chattering from sliding mode controller can also be suppressed effectively. Here, the mathematical model of robotic manipulator structure which can be simplified as a 2-DOF rigid linkage system is built, firstly. Next, a robust controller is designed. Then, the Lyapunov function is constructed to verify its stability. Finally, detailed simulations with some comparisons demonstrate the effectiveness of the proposed method. © 2020, Jilin University Press. All right reserved.
引用
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页码:464 / 471
页数:7
相关论文
共 20 条
  • [1] Kreutz K., On manipulator control by exact linearization, IEEE Transactions on Automatic Control, 34, 7, pp. 763-767, (1989)
  • [2] He W., Dong Y., Sun C., Adaptive neural impedance control of a robotic manipulator with input saturation, IEEE Transactions on Systems Man & Cybernetics Systems, 46, 3, pp. 334-344, (2016)
  • [3] Poignet P., and Gautier M. Nonlinear model predictive control of a robot manipulator, Proceedings of the 6th International Workshop on Advanced Motion Control Proceedings, pp. 401-406, (2000)
  • [4] Li Y., Zhu M.-C., Li Y.-C., Neurofuzzy compensation control for reconfigurable manipulator, Journal of Jilin University (Engineering and Technology Edition), 37, 1, pp. 206-211, (2007)
  • [5] Abdulridha H.M., Hassoun Z.A., Control design of robotic manipulator based on quantum neural network, Journal of Dynamic Systems Measurement and Control, 140, 6, pp. 61-71, (2018)
  • [6] Liu M., Decentralized control of robot manipulators: nonlinear and adaptive approaches, Automatic Control IEEE Transactions On, 44, 2, pp. 357-363, (1999)
  • [7] Zhang Y.-A., Mi Y.-L., Lyv F.-L., Et al., Adaptive fuzzy sliding mode control for two-link flexible manipulator, Journal of Jilin University (Engineering and Technology Edition), 35, 5, pp. 520-525, (2005)
  • [8] Feng Y., Yu X., Man Z., Non-singular terminal sliding mode control of rigid manipulators, Automatica, 38, 12, pp. 2159-2167, (2002)
  • [9] Youcef-Toumi K., Asada H., The design and control of manipulators with decoupled and configuration-invariant inertia tensors, American Control Conference, pp. 811-817, (1986)
  • [10] Su Y., Dong S., Lu R., Et al., Integration of saturated PI synchronous control and PD feedback for control of parallel manipulators, IEEE Transactions on Robotics, 22, 1, pp. 202-207, (2006)