A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 1 Issue 2
Apr.  2014

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Jing Yan, Xian Yang, Cailian Chen, Xiaoyuan Luo and Xinping Guan, "Bilateral Teleoperation of Multiple Agents with Formation Control," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 2, pp. 141-148, 2014.
Citation: Jing Yan, Xian Yang, Cailian Chen, Xiaoyuan Luo and Xinping Guan, "Bilateral Teleoperation of Multiple Agents with Formation Control," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 2, pp. 141-148, 2014.

Bilateral Teleoperation of Multiple Agents with Formation Control

Funds:

This work was supported by National Basic Research Program of China (973 Program) (2010CB731803), National Natural Science Foundation of China (61221003, 61290322, 61273181, 61074065), Natural Science Foundation of Hebei Province (2012203119), Science Foundation of Yanshan University for Excellent Ph. D. Students (201204), and Doctor Foundation of Yanshan University (B832).

  • This paper studies the formation problem for multislave teleoperation system over general communication networks, where multiple mobile slave agents are coupled with a single master robot. The forward and backward network transmission time delays are assumed to be asymmetric and time-varying. Due to the quantization in the network, a dynamic quantization strategy is provided to quantize the output signals of the master robot and slave agents before transmitting. Then, a novel masterslave protocol is designed to achieve the formation task under variable time delays and quantization. Additionally, the sufficient conditions for stability are presented to show that the formation protocol can stabilize the master-slave system under variable time delays and quantization. Finally, simulation are performed to show effectiveness of the main results.

     

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  • [1]
    Pedersen J M, Patel A, Knudsen T P, Madsen O B. Applying 4-regular grid structures in large-scale access networks. Computer Communications, 2006, 29(9):1350-1362
    [2]
    Chopra N, Spong M W. Bilateral teleoperation:an historical survey. Automatica, 2006, 42(12):2035-2057
    [3]
    Nuño E, Basañez L, Ortega R. Passivity-based control for bilateral teleoperation:a tutorial. Automatica, 2011, 47(3):485-495
    [4]
    Ye Y, Liu P X. Improving haptic feedback fidelity in wave-variable-based teleoperation oriented to telemedical applications. IEEE Transactions on Instrumentation and Measurement, 2009, 58(8):2847-2855
    [5]
    Polushin I G, Liu P X, Lung C H. A control scheme for stable forcereflecting teleoperation over IP networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B:Cybernetics, 2006, 36(4):930-939
    [6]
    Polushin I G, Liu P X, Lung C H. Projection-based force reflection algorithm for stable bilateral teleoperation over networks. IEEE Transactions on Instrumentation and Measurement, 2008, 57(9):1854-1865
    [7]
    Nuño E, Ortega R, Barabanov N, Basañez L. A globally stable PD controller for bilateral teleoperators. IEEE Transactions on Robotics, 2008, 24(3):753-758
    [8]
    Hua C C, Liu P X. Teleoperation over the internet with/without velocity signal. IEEE Transactions on Instrumentation and Measurement, 2011, 60(1):4-13
    [9]
    Nuño E, Basañez L, Ortega R, Spong M W. Position tracking for nonlinear teleoperators with variable time delay. International Journal of Robotics Research, 2009, 28(7):895-910
    [10]
    Yang X, Hua C C, Yan J, Guan X P. New stability criteria for networked teleoperation system. Information Sciences, 2013, 233(1):244-254
    [11]
    Yan J, Guan X P, Luo X Y, Yang X. Consensus and trajectory planning with input constraints for multi-agent systems. Acta Automatica Sinica, 2012, 38(7):1074-1082
    [12]
    Lin Z Y, Broucke M, Francis B. Local control strategies for groups of mobile autonomous agents. IEEE Transactions on Automatic Control, 2004, 49(4):622-629
    [13]
    Franchi A, Masone C, Büthoff H H, Robuffo P. Bilateral teleoperation of multiple UAVs with decentralized bearing-only formation control. In:Proceedings of the International Conference on Intelligent Robots and Systems. San Francisco, USA:IEEE, 2011. 2215-2222
    [14]
    Xu Z H, Ma L, Wu Z Y, Schilling K, Necsulescu D. Teleoperating a formation of car-like rovers under time delays. In:Proceedings of the 30th Chinese Control Conference. Yantai, China:IEEE, 2011. 4095-4101
    [15]
    Rodríguez-Seda E J, Troy J J, Erignac C A, Murray P, Stipanović D M, Spong M W. Bilateral teleoperation of multiple mobile agents:coordinated motion and collision avoidance. IEEE Transactions on Control Systems Technology, 2010, 18(4):984-992
    [16]
    Kelly R, Santibáñez V, Loria A. Control of Robot Manipulators in Joint Space. London:Springer, 2005
    [17]
    Fu M Y, Xie L H. The sector bound approach to quantized feedback control. IEEE Transactions on Automatic Control, 2005, 50(11):1698-1711
    [18]
    Yang R N, Shi P, Liu G P, Gao H J. Network-based feedback control for systems with mixed delays based on quantization and dropout compensation. Automatica, 2011, 47(12):2805-2809
    [19]
    Peng C, Tian Y C. Networked H control of linear systems with state quantization. Information Sciences, 2007, 177(24):5763-5774
    [20]
    Chun H Y, Fei S M, Yue D, Chen P, Sun J T. H quantized control for nonlinear networked control systems. Fuzzy Sets and Systems, 2011, 174(1):99-113

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