Abstract
This paper investigates the fixed-time master–slave synchronization control of teleoperation system with asymmetric position errors constraints, dynamics uncertainties and time-varying delay. First, we propose an adaptive fixed-time combined with Barrier Lyapunov Functions controller to figure out asymmetric constraints issues, and it also applies to the case of teleoperation system with no constraint or symmetric state constraint requirements. Second, the adaptive radial basis function neural networks and linearly parameterizable control methods are used for dealing with the uncertainties and time-varying delay problems of system. Next, it is demonstrated that the globally fixed-time stability performance of teleoperation can be achieved through the proposed control strategy and the asymmetric constraint requirements of the position synchronization errors are met all the time. Finally, simulation validates the feasibility of the control method.
Similar content being viewed by others
Data availability
All datasets generated for this study are included within the article.
References
Hokayem, P.F., Spong, M.W.: Bilateral teleoperation: an historical survey. Automatica 42(12), 2035–2057 (2006). https://doi.org/10.1016/j.automatica.2006.06.027
Yan, J., Salcudean, S.E.: Teleoperation controller design using \(\text{ H}_{\infty }\)-optimization with application to motion-scaling. IEEE Trans. Control Syst. Technol. 4(3), 244–258 (1996). https://doi.org/10.1109/87.491198
Zhang, S., Yuan, S., Yu, X., Kong, L., Li, Q., Li, G.: Adaptive neural network fixed-time control design for bilateral teleoperation with time delay. IEEE Trans. Cybern. (2021). https://doi.org/10.1109/TCYB.2021.3063729
Mehrjouyan, A., Menhaj, M.B., Khosravi, M.A.: Robust observer-based adaptive synchronization control of uncertain nonlinear bilateral teleoperation systems under time-varying delay. Measurement 182, 109542 (2021). https://doi.org/10.1016/j.measurement.2021.109542
Shen, H., Pan, Y.-J.: Improving tracking performance of nonlinear uncertain bilateral teleoperation systems with time-varying delays and disturbances. IEEE/ASME Trans. Mech. 25(3), 1171–1181 (2020). https://doi.org/10.1109/TMECH.2019.2962663
Ji, Y., Gong, Y.: Adaptive control for dual-master/single-slave nonlinear teleoperation systems with time-varying communication delays. IEEE Trans. Instrum. Measur. 70, 5503015 (2021). https://doi.org/10.1109/TIM.2021.3075527
Yang, Y., Hua, C., Li, J.: A novel delay-dependent finite-time control of telerobotics system with asymmetric time-varying delays. IEEE Trans. Control Syst. Technol. 30(3), 985–996 (2021). https://doi.org/10.1109/TCST.2021.3088159
He, W., Wang, T., He, X., Yang, L.-J., Kaynak, O.: Dynamical modeling and boundary vibration control of a rigid-flexible wing system. IEEE/ASME Trans. Mech. 25(6), 2711–2721 (2020). https://doi.org/10.1109/TMECH.2020.2987963
Kumpati, S.N., Kannan, P., et al.: Identification and control of dynamical systems using neural networks. IEEE Trans. Neural Netw. 1(1), 4–27 (1990). https://doi.org/10.1109/72.80202
Yang, C., Wang, X., Li, Z., Li, Y., Su, C.-Y.: Teleoperation control based on combination of wave variable and neural networks. IEEE Trans. Syst. Man Cybern. Syst. 47(8), 2125–2136 (2017). https://doi.org/10.1109/TSMC.2016.2615061
Ji, Y., Liu, D., Guo, Y.: Adaptive neural network based position tracking control for dual-master/single-slave teleoperation system under communication constant time delays. ISA Trans. 93, 80–92 (2019). https://doi.org/10.1016/j.isatra.2019.03.019
Chen, Z., Huang, F., Sun, W., Gu, J., Yao, B.: RBF-neural-network-based adaptive robust control for nonlinear bilateral teleoperation manipulators with uncertainty and time delay. IEEE/ASME Trans. Mech. 25(2), 906–918 (2020). https://doi.org/10.1109/TMECH.2019.2962081
Li, Y., Zhang, K., Liu, K., Johansson, R., Yin, Y.: Neural-network-based adaptive control for bilateral teleoperation with multiple slaves under Round-Robin scheduling protocol. Internat. J. Control 94(6), 1461–1474 (2021). https://doi.org/10.1080/00207179.2019.1652853
Piccinelli, N., Muradore, R.: A bilateral teleoperation with interaction force constraint in unknown environment using non linear model predictive control. Eur. J. Control. 62, 185–191 (2021). https://doi.org/10.1016/j.ejcon.2021.06.030
Jin, X., Dai, S.-L., Liang, J., Guo, D.: Multirobot system formation control with multiple performance and feasibility constraints. IEEE Trans. Control Syst. Technol. 30(4), 1766–1773 (2021). https://doi.org/10.1109/TCST.2021.3117487
Tee, K.P., Ren, B., Ge, S.S.: Control of nonlinear systems with time-varying output constraints. Automatica 47(11), 2511–2516 (2011). https://doi.org/10.1016/j.automatica.2011.08.044
Xu, J.-X., Jin, X.: State-constrained iterative learning control for a class of MIMO systems. IEEE Trans. Autom. Control 58(5), 1322–1327 (2013). https://doi.org/10.1109/TAC.2012.2223353
Jin, X.: Adaptive fixed-time control for MIMO nonlinear systems with asymmetric output constraints using universal barrier functions. IEEE Trans. Autom. Control 64(7), 3046–3053 (2019). https://doi.org/10.1109/TAC.2018.2874877
Wang, Z., Sun, Y., Liang, B.: Synchronization control for bilateral teleoperation system with position error constraints: A fixed-time approach. ISA Trans. 93, 125–136 (2019). https://doi.org/10.1016/j.isatra.2019.03.003
Li, Y., Liu, Z., Wang, Z., Yin, Y., Zhao, B.: Adaptive control of teleoperation systems with prescribed tracking performance: a BLF-based approach. Internat. J. Control 95(6), 1600–1610 (2022). https://doi.org/10.1080/00207179.2020.1866212
Zhang, H., Song, A., Li, H., Chen, D., Fan, L.: Adaptive finite-time control scheme for teleoperation with time-varying delay and uncertainties. IEEE Trans. Syst. Man Cybern. Syst. 52(3), 1552–1566 (2020). https://doi.org/10.1109/TSMC.2020.3032295
Polyakov, A.: Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Trans. Autom. Control 57(8), 2106–2110 (2012). https://doi.org/10.1109/TAC.2011.2179869
Xu, G.-H., Qi, F., Lai, Q., Iu, H.H.-C.: Fixed time synchronization control for bilateral teleoperation mobile manipulator with nonholonomic constraint and time delay. IEEE Trans. Circ. Syst. II 67(12), 3452–3456 (2020). https://doi.org/10.1109/TCSII.2020.2990698
Cai, Y., Zhang, H., Wang, Y., Gao, Z., He, Q.: Adaptive bipartite fixed-time time-varying output formation-containment tracking of heterogeneous linear multiagent systems. IEEE Trans. Neural Netw. Learn. Syst. (2021). https://doi.org/10.1109/TNNLS.2021.3059763
Chen, M., Wang, H., Liu, X.: Adaptive fuzzy practical fixed-time tracking control of nonlinear systems. IEEE Trans. Fuzzy Syst. 29(3), 664–673 (2021). https://doi.org/10.1109/TFUZZ.2019.2959972
Zhai, D.-H., Xia, Y.: Adaptive control for teleoperation system with varying time delays and input saturation constraints. IEEE Trans. Ind. Electron. 63(11), 6921–6929 (2016). https://doi.org/10.1109/TIE.2016.2583199
Yang, X., Yan, J., Hua, C., Guan, X.: Effects of quantization and saturation on performance in bilateral teleoperator. Internat. J. Robust Nonlinear Control 30(1), 121–141 (2020). https://doi.org/10.1002/rnc.4751
Yang, Y., Gan, L., Chen, Y., Hua, C.: Adaptive neural network control for flexible telerobotic systems with communication constraints. J. Franklin Inst. 359(10), 4751–4775 (2022). https://doi.org/10.1016/j.jfranklin.2022.04.035
Ma, Z., Liu, Z., Huang, P.: Fractional-order control for uncertain teleoperated cyber-physical system with actuator fault. IEEE/ASME Trans. Mech. 26(5), 2472–2482 (2021). https://doi.org/10.1109/TMECH.2020.3039967
Ma, Z., Liu, Z., Huang, P., Kuang, Z.: Adaptive fractional-order sliding mode control for admittance-based telerobotic system with optimized order and force estimation. IEEE Trans. Ind. Electron. 69(5), 5165–5174 (2022). https://doi.org/10.1109/TIE.2021.3078385
Lampinen, S., Koivumäki, J., Zhu, W.-H., Mattila, J.: Force-sensor-less bilateral teleoperation control of dissimilar master-slave system with arbitrary scaling. IEEE Trans. Control Syst. Technol. 30(3), 1037–1051 (2021). https://doi.org/10.1109/TCST.2021.3091314
Wang, C., Lin, Y.: Decentralized adaptive tracking control for a class of interconnected nonlinear time-varying systems. Automatica 54, 16–24 (2015). https://doi.org/10.1016/j.automatica.2015.01.041
Zhu, Z., Xia, Y., Fu, M.: Attitude stabilization of rigid spacecraft with finite-time convergence. Internat. J. Robust Nonlinear Control 21(6), 686–702 (2011). https://doi.org/10.1002/rnc.1624
Yu, S., Yu, X., Shirinzadeh, B., Man, Z.: Continuous finite-time control for robotic manipulators with terminal sliding mode. Automatica 41(11), 1957–1964 (2005). https://doi.org/10.1016/j.automatica.2005.07.001
Wang, H.-Q., Chen, B., Lin, C.: Adaptive neural tracking control for a class of stochastic nonlinear systems. Internat. J. Robust Nonlinear Control 24(7), 1262–1280 (2014). https://doi.org/10.1002/rnc.2943
Jiang, B., Hu, Q., Friswell, M.I.: Fixed-time attitude control for rigid spacecraft with actuator saturation and faults. IEEE Trans. Control Syst. Technol. 24(5), 1892–1898 (2016). https://doi.org/10.1109/TCST.2016.2519838
Zhang, S., Dong, Y., Ouyang, Y., Yin, Z., Peng, K.: Adaptive neural control for robotic manipulators with output constraints and uncertainties. IEEE Trans. Neural Netw. Learn. Syst. 29(11), 5554–5564 (2008). https://doi.org/10.1109/TNNLS.2018.2803827
Spong, M.W., Hutchinson, S., Vidyasagar, M.: Robot Modeling and Control. Wiley, New York (2006)
Spong, M.W., Vidyasagar, M.: Robot Dynamics and Control. Wiley, New York (2008)
Tee, K.P., Ge, S.S., Tay, E.H.: Barrier lyapunov functions for the control of output-constrained nonlinear systems. Automatica 45(4), 918–927 (2009). https://doi.org/10.1016/j.automatica.2008.11.017
Wang, Z., Chen, Z., Liang, B.: Fixed-time velocity reconstruction scheme for space teleoperation systems: exp barrier Lyapunov function approach. Acta Astronaut. 157, 92–101 (2019). https://doi.org/10.1016/j.actaastro.2018.12.018
Acknowledgements
This work was supported in part by the Natural Science Foundation of Hebei Province (No. F2022208007), in part by the Foundation of Science and Technology Project of Hebei Education Department (No. ZD2022136), in part by the Basic Research Quality Improvement Project of Hebei University of Science and Technology (No. 2021YWF12), in part by the Doctoral Research Foundation of Hebei University of Science and Technology (No. 1181439), in part by the Subject Competition Teaching Reform Project of School of Electrical Engineering, Hebei University of Science and Technology (No. DQJ20210401), in part by the Military Science and Technology Commission of China (Nos. 2413087 and 2020-JCJQ-JJ-217), and in part by the Graduate Student Innovation Ability Training Project of Hebei Education Department (Nos. XJCXZZSS2022011 and CXZZSS2023097).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Shan Su and Yude Ji contributed equally to this work.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Su, S., Ji, Y. Fixed-time adaptive neural network synchronization control for teleoperation system with position error constraints and time-varying delay. Nonlinear Dyn 111, 13053–13072 (2023). https://doi.org/10.1007/s11071-023-08509-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-023-08509-4