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An adaptive force reflection scheme for bilateral teleoperation

Published online by Cambridge University Press:  09 April 2014

Zhang Chen ,
Bin Liang ,
Tao Zhang ,
Bo Zhang  and
Haitao Song
Zhang Chen
Affiliation:
Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing 10084, China Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai 200237, China Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
Bin Liang
Affiliation:
Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing 10084, China Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
Tao Zhang*
Affiliation:
Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing 10084, China Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai 200237, China
Bo Zhang
Affiliation:
Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
Haitao Song
Affiliation:
Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing 10084, China
*
*Corresponding author. E-mail: [email protected]
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Summary

In this paper, an adaptive force reflection scheme is proposed for bilateral teleoperation. In order to achieve an ideal telepresence performance while keeping the system stable, the force reflection algorithm needs to take both the human force and the contact force into consideration. An observer based on the feature of the human operator is designed to estimate the force applied on the master device. The reflected force is calculated by performing the orthogonal decomposition of the contact force, and is adjusted adaptively according to the estimated human force. The direction of the reflected force becomes a key consideration in the design process, so the proposed approach has an advantage in the guiding contact task. Based on the small gain theorem, the master device with the force reflection scheme is proved to be input-to-output stable, and the derivation for stability criterion of the closed-loop teleoperation system is also given. The results of simulations and experiments on a 6-degree of freedom teleoperation system demonstrate the effectiveness of the proposed scheme.

Keywords

Bilateral teleoperationForce feedbackStability analysisTelepresence
Type
Articles
Information
Robotica , Volume 33 , Issue 7 , August 2015 , pp. 1471 - 1490
Copyright
Copyright © Cambridge University Press 2014 

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References

1. Sheridan, T. B., “Telerobotics,” Automatica 25 (4), 487–507 (1989).Google Scholar
2. Niemeyer, G., Preusche, C. and Hirzinger, G., “Telerobotics,” In: Springer Handbook of Robotics (Springer, New york, NY, 2008) pp. 741–757.Google Scholar
3. Passenberg, C., Peer, A. and Buss, M., “A survey of environment-, operator-, and task-adapted controllers for teleoperation systems.” Mechatronics 20 (7), 787–801 (2010).Google Scholar
4. Lawrence, D. A., “Stability and transparency in bilateral teleoperation,” IEEE Trans. Robot. Autom. 9 (5), 624–637 (1993).Google Scholar
5. Hashtrudi-Zaad, K. and Salcudean, S. E., “Transparency in time-delayed systems and the effect of local force feedback for transparent teleoperation,” IEEE Trans. Robot. Autom. 18 (1), 108–114 (2002).Google Scholar
6. Nuño, E., Basañez, L. and Ortega, R., “Passivity-based control for bilateral teleoperation: A tutorial,” Automatica 47 (3), 485–495 (2011).Google Scholar
7. Anderson, R. J. and Spong, M. W., “Bilateral control of teleoperators with time delay,” IEEE Trans. Autom. Control 34 (5), 494–501 (1989).Google Scholar
8. Niemeyer, G. and Slotine, J. J. E., “Stable adaptive teleoperation,” IEEE J. Ocean. Eng. 16 (1), 152–162 (1991).Google Scholar
9. Park, J. H. and Cho, H. C., “Sliding Mode Control of Bilateral Teleoperation Systems with Force-Reflection on the Internet,” Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (2000) pp. 1187–1192.Google Scholar
10. Yan, J. and Salcudean, S. E., “Teleoperation controller design using H∞-optimization with application to motion-scaling,” IEEE Trans. Control Syst. Technol. 4 (3), 244–258 (1996).Google Scholar
11. Leung, G. M. H., Francis, B. A. and Apkarian, J., “Bilateral controller for teleoperators with time delay via μ-synthesis,” IEEE Trans. Robot. Autom. 11 (1), 105–116 (1995).Google Scholar
12. Hokayem, P. F. and Spong, M. W., “Bilateral teleoperation: An historical survey,” Automatica 42 (12), 2035–2057 (2006).Google Scholar
13. Daniel, R. W. and McAree, P. R., “Fundamental limits of performance for force reflecting teleoperation,” Int. J. Robot. Res. 17 (8), 811–830 (1998).Google Scholar
14. Kuchenbecker, K. J. and Niemeyer, G., “Induced master motion in force-reflecting teleoperation,” J. Dyn. Syst. Meas. Control 128 (4), 800–810 (2006).Google Scholar
15. Polushin, I. G., Liu, X. P. and Lung, C., “Stability of bilateral teleoperators with generalized projection-based force reflection algorithms,” Automatica 48 (6), 1005–1016 (2012).Google Scholar
16. Kuchenbecker, K. J., Fiene, J. and Niemeyer, G. U. N., “Event-Based Haptics and Acceleration Matching: Portraying and Assessing the Realism of Contact,” First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, Pisa, Italy (2005) pp. 381–387.Google Scholar
17. Gleeson, B. T., Horschel, S. K. and Provancher, W. R., “Perception of direction for applied tangential skin displacement: Effects of speed, displacement, and repetition,” IEEE Trans. Haptics 3 (3), 177–188 (2010).Google Scholar
18. Kawasaki, H., Ohtuka, Y., Koide, S. and Mouri, T., “Perception and haptic rendering of friction moments,” IEEE Trans. Haptics 4 (1), 28–38 (2011).Google Scholar
19. Khalil, H. K., Nonlinear Systems (Prentice Hall, Upper Saddle River, NJ, 2002).Google Scholar
20. Teel, A. R., “Connections between Razumikhin-type theorems and the ISS nonlinear small gain theorem,” IEEE Trans. Autom. Control 43 (7), 960–964 (1998).Google Scholar
21. Spong, M. W., Hutchinson, S. and Vidyasagar, M., Robot Modeling and Control (John Wiley, New York, NY, 2006).Google Scholar
22. Tanner, N. A. and Niemeyer, G., “High-frequency acceleration feedback in wave variable telerobotics,” IEEE/ASME Trans. Mechatronics 11 (2), 119–127 (2006).Google Scholar
23. Stotsky, A. and Kolmanovsky, I., “Application of input estimation techniques to charge estimation and control in automotive engines,” Control Eng. Pract. 10 (12), 1371–1383 (2002).Google Scholar
24. Kolmanovsky, I., Sivergina, I. and Sun, J., “Simultaneous input and parameter estimation with input observers and set-membership parameter bounding: Theory and an automotive application,” Int. J. Adapt. Control 20 (5), 225–246 (2006).Google Scholar
25. Fradkov, A. L., Miroshnik, I. V. and Nikiforov, V. O., Nonlinear and Adaptive Control of Complex Systems (Springer, New York, NY, 1999).Google Scholar
26. Sontag, E. D. and Wang, Y., “Notions of input to output stability,” Syst. Control Lett. 38 (4), 235–248 (1999).Google Scholar
27. Sontag, E., “Input to State Stability: Basic Concepts and Results,” In: Nonlinear and Optimal Control Theory (Springer-Verlag, Berlin, Germany, 2008) 163–220.Google Scholar
28. Polushin, I. G., Liu, P. X. and Chung-Horng, L., “A force-reflection algorithm for improved transparency in bilateral teleoperation with communication delay,” IEEE/ASME Trans. Mechatronics 12 (3), 361–374 (2007).Google Scholar
29. Mancilla-Aguilar, J. L. and Garc, R. A., “On converse Lyapunov theorems for ISS and iISS switched nonlinear systems,” Syst. Control Lett. 42 (1), 47–53 (2001).Google Scholar
30. Polushin, I., Marquez, H. J., Tayebi, A. and Liu, P. X., “A multichannel IOS small gain theorem for systems with multiple time-varying communication delays,” IEEE Trans. Autom. Control 54 (2), 404–409 (2009).Google Scholar
31. Jianfeng, W., Aiguo, S. and Jianqing, L., “A three-dimensional force reflecting hand controller,” Chin. J. Sens. Actuators 23, 1417–1420 (2010).Google Scholar