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Adaptive-observer-based robust control for a time-delayed teleoperation system with scaled four-channel architecture

Published online by Cambridge University Press:  03 September 2021

Linping Chan*
Affiliation:
Automation College, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
Qingqing Huang
Affiliation:
Automation College, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
Ping Wang
Affiliation:
Automation College, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
*
*Corresponding author. E-mail: [email protected]

Abstract

This article presents an innovative adaptive-observer-based scaled four-channel (4-CH) control approach applying damping injection for nonlinear teleoperation systems, which unify the study of robotic dynamic uncertainties, operator/environment force acquirements and asymmetric time-varying delays in the same framework. First, a scaled 4-CH scheme with damping injection is developed to handle time-varying delay while guaranteeing the passivity of communication channels. Then, the improved extended active observer (IEAOB) is deployed to derive the operator/environment force while addressing the issues of measurement noise and model uncertainties. Furthermore, the system stability is analyzed by choosing Lyapunov functional. Finally, the proposed method is validated through simulation.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Taylor, R. and Stoianovici, D., “Medical robotics in computer-integrated surgery,” IEEE Trans. Robot. Autom. 19, 765781 (2003).CrossRefGoogle Scholar
Passenbarg, C., Peer, A. and Buss, M., “A survey of environment-, operator-, and task-adapted controllers for teleoperation systems”, Mechatronics 20, 787801 (2010).CrossRefGoogle Scholar
Lawrence, D. A., “Towards force reflecting teleoperation over the Internet,” in Proc. IEEE Int. Conf. Robot. Autom., (Nice, France, 1992), pp. 1406–1411.Google Scholar
Ghavifekr, A., Ghiasi, A., and Badamchizadeh, M.. “Discrete-time control of bilateral teleoperation systems: a review.” Robotica 36(4), 552569 (2018).CrossRefGoogle Scholar
Ghavifekr, A., et al.Exponential stability of bilateral sampled-data teleoperation systems using multirate approach.ISA Trans. 105, 190197 (2020).CrossRefGoogle ScholarPubMed
Niemeyer, G. and Slotine, J.-J. E., “Stable adaptive teleoperation,” IEEE J. Ocean. Eng. 16(1), 152162 (1991).CrossRefGoogle Scholar
Chopra, N., Spong, M. W., Hirche, S., and Buss, M., “Bilateral teleoperation over the Internet: The time varying delay problem,” in Proc. Amer. Control Conf., pp. 155–160 (2003).Google Scholar
Lozano, R., Chopra, N., and Spong, M. W., “Passivation of force reflecting bilateral teleoperators with time varying delay,” in Proc. Mechatronics Forum, pp. 954–962, (2002).Google Scholar
Ye, Y. and Liu, P. X., “Improving trajectory tracking in wave-variable-based teleoperation,” IEEE/ASME Trans. Mechatron. 15(2), 321326 (2010).Google Scholar
Li, H. and Kawashima, K., “Achieving stable tracking in wave-variable based teleoperation,” IEEE/ASME Trans. Mechatron. 19(5), 15741582 (2014).Google Scholar
Sun, D., Naghdy, F., and Du, H., “Wave-variable-based passivity control of four-channel nonlinear bilateral teleoperation system under time delays,” IEEE/ASME Trans. Mechatron. 21(1), 238253 (2016).CrossRefGoogle Scholar
Chen, Z., Huang, F., Sun, W., and Song, W., “An improved wave variable based four-channel control design in bilateral teleoperation system for time-delay compensation,” IEEE Access 6, 1284812857 (2018).CrossRefGoogle Scholar
NuÑo, E., Ortega, R., Barabanov, N., and BasaÑez, L.. “A globally stable PD controller for bilateral teleoperators,” IEEE Trans. Robot. 24(3), 753758 (2008).CrossRefGoogle Scholar
Nuño, E., Basañez, L., Ortega, R., and Spong, M. W., “Position tracking for non-linear teleoperators with variable time delay,” Int. J. Robot. Res. 28(7), 895910 (2009).CrossRefGoogle Scholar
Yang, Y., Constantinescu, D., and Shi, Y., “Input-to-state stable bilateral teleoperation by dynamic interconnection and damping injection: theory and experiments,” IEEE Trans. Ind. Electron. 67(1), 790799 (2020).CrossRefGoogle Scholar
Chan, L., Naghdy, F., and Stirling, D.. “Application of adaptive controllers in teleoperation systems: A survey,” IEEE Trans. Human-Mach. Systems. 44(3), 337352 (2014).Google Scholar
Nuño, E., Basañez, L., and Ortega, R., “Passivity-based control for bilateral teleoperation: A tutorial,” Automatica 47(3), 485495 (2011).CrossRefGoogle Scholar
Chan, L., Naghdy, F., and Stirling, D., “Extended active observer for force estimation and disturbance rejection of robotic manipulators,” Rob. Auton. Sys. 61, 12771287 (2013).CrossRefGoogle Scholar
Chan, L., Naghdy, F., and Stirling, D., “Position and force tracking for non-linear haptic telemanipulator under varying delays with an improved extended active observer,” Robot. Auton. Sys. 75, 145160 (2016).CrossRefGoogle Scholar
Cortesão, R., Park, J., and Khatib, O.. “Real-time adaptive control for haptic telemanipulation with kalman active observers,” IEEE Trans. Robot. 22(5), 987999 (2006).CrossRefGoogle Scholar
Chen, Z., Yao, B., and Wang, Q., “Accurate motion control of linear motors with adaptive robust compensation of nonlinear electromagnetic field effect,” IEEE/ASME Trans. Mechatron. 18(3), 11221129 (2013).CrossRefGoogle Scholar
Sun, W., Pan, H., and Gao, H., “Filter-based adaptive vibration control for active vehicle suspensions with electro-hydraulic actuators,” IEEE Trans. Veh. Technol. 65(6), 46194626 (2016).CrossRefGoogle Scholar
Yao, J. and Deng, W., “Active disturbance rejection adaptive control of hydraulic servo systems,” IEEE Trans. Ind. Electron. 64(10), 80238032 (2017).CrossRefGoogle Scholar
Yao, J., Deng, W., and Jiao, Z., “RISE-based adaptive control of hydraulic systems with asymptotic tracking,” IEEE Trans. Autom. Sci. Eng. 14(3), 15241531 (2017).CrossRefGoogle Scholar
Cho, H. C. and Park, J. H., “Stable bilateral teleoperation under a time delay using a robust impedance control,” Mechatronics 15(5), 611625 (2005).CrossRefGoogle Scholar
Chen, Z., Yao, B., and Wang, Q., “μ-synthesis based adaptive robust control of linear motor driven stages with high-frequency dynamics: A case study,” IEEE/ASME Trans. Mechatron. 20(3), 14821490 (2015).CrossRefGoogle Scholar
Mart´nez, C. A. L., van de Molengraft, R., Weiland, S., and Steinbuch, M., “Switching robust control for bilateral teleoperation,” IEEE Trans. Control Syst. Technol. 24(1), 172188 (2016).CrossRefGoogle Scholar
Jing, B., Na, J., Gao, G., and Yang, C., “Robust adaptive control for bilateral teleoperation systems with guaranteed parameter estimation,” in Proc. Int. Conf. Adv. Robot. Mechatronics, pp. 32–37, (2016).CrossRefGoogle Scholar
Cheng, C., Xu, W., and Shang, J., “Distributed-torque-based independent joint tracking control of a redundantly actuated parallel robot with two higher kinematic pairs,” IEEE Trans. Industr. Electron. 63(2), 10621070 (2016).CrossRefGoogle Scholar
Sariyildiz, E., Oboe, R., and Ohnishi, K., “Disturbance observer-based robust control and its applications: 35th anniversary overview,” IEEE Trans. Ind. Electron. 67(3), 20422053 (2020).CrossRefGoogle Scholar
Sun, D., Naghdy, F., and Du, H., “Neural network based passivity control of teleoperation system under time-varying delays,” IEEE Trans. Cybern. 47(7), 16661680 (2017).CrossRefGoogle ScholarPubMed
Chen, Z., Huang, F., Sun, W., Gu, J., and Yao, B., “RBF-neural-network-based adaptive robust control for nonlinear bilateral teleoperation manipulators with uncertainty and time delay,” IEEE/ASME Trans. Mechatron. 25(2), 906918 (2020).CrossRefGoogle Scholar
Chen, Z., Huang, F., Chen, W., Zhang, J., Sun, W., Chen, J., Gu, J., and Zhu, S., “RBFNN-based adaptive sliding mode control design for delayed nonlinear multilateral telerobotic system with cooperative manipulation,” IEEE Trans. Industr. Inform. 16(2), 12361247 (2020).CrossRefGoogle Scholar
Li, Z. and Xia, Y., “Adaptive neural network control of bilateral teleoperation with unsymmetrical stochastic delays and unmodeled dynamics,” Int. J. Robust Nonlinear Control. 24(11), 16281652 (2014).Google Scholar
Yang, X., Hua, C.-C., Yan, J., and Guan, X.-P., “A new master-slave torque design for teleoperation system by T–S fuzzy approach,” IEEE Trans. Control Syst. Technol. 23(4), 16111619 (2015).CrossRefGoogle Scholar
Sun, D., Liao, Q., Stoyanov, T., et al.Bilateral telerobotic system using Type-2 fuzzy neural network based moving horizon estimation force observer for enhancement of environmental force compliance and human perception,” Automatica 106, 358373 (2019).CrossRefGoogle Scholar
Chen, Z., Huang, F., Yang, C., and Yao, B., “Adaptive fuzzy backstepping control for stable nonlinear bilateral teleoperation manipulators with enhanced transparency performance,” IEEE Trans. Industr. Electron. 67(1), 746756 (2020).CrossRefGoogle Scholar
Tian, D., Zhang, B., Shen, H., and Li, J.. “Stability Problem of Wave Variable Based Bilateral Control: Influence of the Force Source Design,” Math. Probl. Eng. 2013, (2013).Google Scholar
Lawrance, D. A., “Stability and transparency in bilateral teleoperation,” IEEE Trans. Robot Autom. 9(5), 624637 (1993).Google Scholar
Yokokohji, Y. and Yoshikawa, T., “Bilateral control for master-slave manipulators for ideal kinesthetic coupling-formulation and experiment,” IEEE Trans. Robot. Autom. 10(5), 605620 (1994).CrossRefGoogle ScholarPubMed
Hannaford, B., “A design framework for teleoperators with kinesthetic feedback,” IEEE Trans. Robot. Autom. 5(4), 426434 (1989).CrossRefGoogle Scholar
Willaert, B., Reynaerts, D., and Brussel, H. V., “Bilateral teleoperation: Quantifying the requirements for and restrictions of ideal transparency,” IEEE Trans. Control Syst. Technol. 22(1), 387395 (2014).CrossRefGoogle Scholar
Chen, Z., Huang, F., Sun, W., and Song, W., “An improved wave-variable based four-channel control design in bilateral teleoperation system for time-delay compensation,” IEEE Access 6, 1284812857 (2018).CrossRefGoogle Scholar
Ramasubramanian, A., and Ray, L. E., “Comparison of EKF-based and classical friction compensation,” J. Dyn. Syst. Meas. Control 129, 236242 (2006).CrossRefGoogle Scholar
Bierman, G. J., “Measurement Updating Using the U—D Factorization,” Proc. IEEE Conf. Dec. Control, pp. 337–346, (1975).CrossRefGoogle Scholar
Gourdeau, R., “Adaptive Control of Robotic Manipulators,” Ph.D. thesis, Carleton Unversity, Canada, (1990).Google Scholar
Craig, J., Hsu, P., and Sastry, S., “Adaptive Control of Mechanical Manipulators,” Int. J. Robot. Res. 6(2), 1628 (1987).CrossRefGoogle Scholar
Chan, L., Naghdy, F., and Stirling, D., “An Improved Extended Active Observer for Adaptive Control of A n -DOF Robot Manipulator,” J. Intell. Robot. Syst. 85(3), 679692 (2017).CrossRefGoogle Scholar