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Adaptive robust control of bilateral teleoperation systems for synchronization in time

Published: 06 July 2020 Publication History

Abstract

A new control method for stability, synchronization and transparency of bilateral teleoperation systems is investigated in this paper. For the environmental force identification, the weighted least square method (WLS) is used on slave side and then the identification results are transmitted to the master side so as to simulate the environment of the slave system and build the target dynamic to achieve transparency. The states predictor on slave side is to predict the states of the master system and then the predicted results are regarded as the reference command for slave system, which leads to synchronization in time. Due to the great uncertainties, adaptive robust control (ARC) method is used for controllers design of the master and slave systems to guarantee stabilities of two teleoperators. At last, experiment results also show the good stability, synchronization and transparency of our control scheme.

References

[1]
P. F. Hokayem and M. W. Spong, “Bilateral teleoperation: An historical survey,” Automatica, vol. 42, pp. 2035–2057, DEC 2006.
[2]
N. Chopra and M. W. Spong, “Adaptive coordination control of bilateral teleoperators with time delay,” in IEEE Conference on Decision and Control, pp. 4540–4547 Vol.5, 2004.
[3]
S. J. Lee and H. S. Ahn, “Synchronization of bilateral teleoperation systems with input saturation,” in International Conference on Control Automation and Systems, pp. 1357–1361, 2010.
[4]
Z. Chen, Y.-J. Pan, and J. Gu, “Adaptive robust control of bilateral teleoperation systems with unmeasurable environmental force and arbitrary time delays,” IET Control Theory and Applications, vol. 8, pp. 1456–1464, OCT 2014.
[5]
H. C. Cho, J. H. Park, K. Kim, and J. O. Park, “Sliding-mode-based impedance controller for bilateral teleoperation under varying time-delay,” in IEEE International Conference on Robotics and Automation, pp. 1025–1030 vol.1, 2006.
[6]
A. Hace and M. Franc, “Fpga implementation of sliding-mode-control algorithm for scaled bilateral teleoperation,” IEEE Transactions on Industrial Informatics, vol. 9, no. 3, pp. 1291–1300, 2013.
[7]
Z. Li and C. Su, “Neural-adaptive control of single-master-multiple-slaves teleoperation for coordinated multiple mobile manipulators with time-varying communication delays and input uncertainties,” IEEE Trans Neural Netw Learn Syst, vol. 24, no. 9, pp. 1400–1413, 2013.
[8]
K. Yoshida, T. Namerikawa, and O. Sawodny, “A state predictor for bilateral teleoperation with communication time delay,” in IEEE Conference on Decision and Control, pp. 4590–4595, 2008.
[9]
K. Zareinia and N. Sepehri, “A hybrid haptic sensation for teleoperation of hydraulic manipulators,” Journal of Dynamic Systems Measurement and Control, vol. 137, no. 9, p. 316C317, 2015.
[10]
Y. C. Liu and N. Chopra, “Control of semi-autonomous teleoperation system with time delays,” Automatica, vol. 49, no. 6, pp. 1553–1565, 2013.
[11]
X. Yang, C. Hua, J. Yan, and X. Guan, “New stability criteria for networked teleoperation system,” Information Sciences, vol. 233, no. 2, pp. 244–254, 2013.
[12]
Y. Yuan, Y. Wang, and L. Guo, “Force reflecting control for bilateral teleoperation system under time-varying delays,” IEEE Transactions on Industrial Informatics, vol. PP, no. 99, pp. 1–1.
[13]
D. Lee and P. Y. Li, “Passive bilateral control and tool dynamics rendering for nonlinear mechanical teleoperators,” IEEE Transactions on Robotics, vol. 21, no. 5, pp. 936–951, 2005.
[14]
X. Liu, R. Tao, and M. Tavakoli, “Adaptive control of uncertain nonlinear teleoperation systems,” Mechatronics, vol. 24, no. 1, pp. 66–78, 2014.
[15]
C. C. Hua and P. X. Liu, “Convergence analysis of teleoperation systems with unsymmetric time-varying delays,” IEEE Transactions on Circuits and Systems II Express Briefs, vol. 56, no. 3, pp. 240–244, 2009.
[16]
W. H. Zhu and S. E. Salcudean, “Stability guaranteed teleoperation: an adaptive motion/force control approach,” Automatic Control IEEE Transactions on, vol. 45, no. 11, pp. 1951–1969, 2000.
[17]
P. Malysz and S. Sirouspour, “Nonlinear and filtered force/position mappings in bilateral teleoperation with application to enhanced stiffness discrimination,” IEEE Transactions on Robotics, vol. 25, no. 5, pp. 1134–1149, 2009.
[18]
B. Yao, “Integrated direct/indirect adaptive robust control of siso nonlinear systems in semi-strict feedback form,” in Proceedings of the American Control Conference, pp. 3020–3025 vol.4, 2003.
[19]
B. Yao and M. Tomizuka, “Adaptive robust control of siso nonlinear systems in a semi-strict feedback form,” Automatica, vol. 33, no. 5, pp. 3020–3025, 1997.

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          2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
          Jul 2020
          1638 pages

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          Published: 06 July 2020

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