Increasing stability in model-mediated teleoperation approach by reducing model jump effect

Document Type : Article


School of Mechanical Engineering, Iran University of Science and Technology, Tehran, P.O. Box 16765163, Iran


Model-mediated teleoperation is a predictive control approach for controlling haptic teleoperation systems whereby the environment force is virtually located on master side in order to increase the stability and transparency of the system. This promising approach, however, results in new challenges. One pivotal challenge is the model jump effect, which stems from the delay in correct creation of the virtual environment. Previous works have endeavored to reduce this effect; however, they either led to transparency decrease or assumed simplified environment models. In this paper, we propose a control approach for this aim based on the idea of decoupling. This means that when a new environment has been identified, the operation is interrupted and no signal is transmitted between master and slave sides. During this time, both sides are controlled by their own sliding mode controllers until the system reaches stability. The main advantage of this method is its independence from environment type, which makes it usable for different kinds of applications. To verify the effectiveness of the proposed approach simulation tests are conducted. The results show the system is stable in interaction with hard and soft environments in presence of large time delays in communication channels.


Main Subjects

1. Aliaga, I., Rubio, A., and Sanchez, E. "Experimental quantitative comparison of different control architectures for master-slave teleoperation", IEEE Transactions on Control Systems Technology, 12(1), pp. 2-11 (2004).
2. Hua, C.-C., Yang, Y., and Guan, X. "Neural networkbased adaptive position tracking control for bilateral teleoperation under constant time delay", Neurocomputing, 113, pp. 204-212 (2013).
3. Garcia-Valdovinos, L.-G., Parra-Vega, V., and Arteaga, M.A. "Observer-based sliding mode impedance control of bilateral teleoperation under constant unknown time delay", Robotics and Autonomous Systems, 55(8), pp. 609-617 (2007).
4. Cho, H.C. and Park, J.H. "Impedance control with variable damping for bilateral teleoperation under time delay", JSME International Journal Series C Mechanical Systems, Machine Elements and Manufacturing, 48(4), pp. 695-703 (2005).
5. Weber, C., Nitsch, V., Unterhinninghofen, U., Farber, B., and Buss, M. "Position and force augmentation in a telepresence system and their effects on perceived realism", Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, Salt Lake City, UT, USA, pp. 226-231 (2009).
6. Hannaford, B. "A design framework for teleoperators with kinesthetic feedback", IEEE Transactions on Robotics and Automation, 5(4), pp. 426-434 (1989).
7. Uddin, R. and Ryu, J. "Predictive control approaches for bilateral teleoperation", Annual Reviews in Control, 42, pp. 82-99 (2016).
8. Xu, X., Cizmeci, B., Schuwerk, C., and Steinbach, E. "Model-mediated teleoperation: Toward stable and transparent teleoperation systems", IEEE Access, 4, pp. 425-449 (2016).
9. Xu, X., Paggetti, G., and Steinbach, E. "Dynamic model displacement for model-mediated teleoperation", IEEE World Haptics Conference (WHC), Daejeon, Korea, pp. 313-318 (2013).
10. Xu, X., Schuwerk, C., and Steinbach, E. "Passivitybased model updating for Model-mediated Teleoperation", IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Turin, Italy, pp. 1-6 (2015).
11. Smisek, J., van Paassen, R.M., and Schiele, A. "Naturally-transitioning rate-to-force controller robust to time delay by model-mediated teleoperation", IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hong Kong, pp. 3066-3071 (2015).
12. Willaert, B., Van Brussel, H., and Niemeyer, G. "Stability of model-mediated teleoperation: discussion and experiments", International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, Tampere, Finland, pp. 625-636 (2012).
13. Lawrence, D.A. "Stability and transparency in bilateral teleoperation", IEEE Transactions on Robotics and Automation, 9(5), pp. 624-637 (1993).
14. Speich, J.E., Shao, L., and Goldfarb, M. "Modeling the human hand as it interacts with a telemanipulation system", Mechatronics, 15(9), pp. 1127-1142 (2005).
15. Achhammer, A., Weber, C., Peer, A., and Buss, M. "Improvement of model-mediated teleoperation using a new hybrid environment estimation technique", IEEE International Conference on Robotics and Automation (ICRA), Anchorage, Alaska, USA, pp. 5358- 5363 (2010).
16. Yazdankhoo, B. and Beigzadeh, B. "Improving transparency in bilateral teleoperation systems based on model-mediated approach", Modares Mechanical Engineering, 17(1), pp. 273-283 (2017) (in Persian).
17. Smith, A.C. and Hashtrudi-Zaad, K. "Neural networkbased teleoperation using Smith predictors", IEEE International Conference Mechatronics and Automation, Niagara Falls, Canada, 3, pp. 1654-1659 (2005).
18. Tarvirdizadeh, B., Khanmirza, E., Ebrahimi, M., Kalhor, A., and Vakilipour, S. "An efficient numerical and experimental system identification approach for a  flexible manipulator", Engineering Computations, 32(8), pp. 2467-2490 (2015).
19. Park, D.-J. and Jun, B.-E. "Selfperturbing recursive least squares algorithm with fast tracking capability", Electronics Letters, 28(6), pp. 558-559 (1992).
20. Diolaiti, N., Melchiorri, C., and Stramigioli, S. "Contact impedance estimation for robotic systems", IEEE Transactions on Robotics, 21(5), pp. 925-935 (2005).
21. Haddadi, A. and Hashtrudi-Zaad, K. "Real-time identification of Hunt-Crossley dynamic models of contact environments", IEEE Transactions on robotics, 28(3), pp. 555-566 (2012).
22. Schindeler, R. and Hashtrudi-Zaad, K. "Polynomial linearization for real-time identification of environment Hunt-Crossley models", IEEE Haptics Symposium (HAPTICS), Pennsylvania, USA, pp. 173-178 (2016).
23. Sadeghi, M.S., Momeni, H.R., and Amirifar, R. "h1 and 11 control of a teleoperation system via LMIs", Applied Mathematics and Computation, 206(2), pp. 669-677 (2008).
24. Hilliard, T. and Pan, Y.-J. "Stabilization of asymmetric bilateral teleoperation systems for haptic devices with time-varying delays", American Control Conference, Washington, DC, USA, pp. 4538-4543 (2013).
25. Park, J.H. and Cho, H.C. "Sliding mode control of bilateral teleoperation systems with force-reflection on the internet", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Takamatsu, Japan, 2 pp. 1187-1192 (2000).
26. Tzafestas, C., Velanas, S., and Fakiridis, G. "Adaptive impedance control in haptic teleoperation to improve transparency under time-delay", IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA, USA, pp. 212-219 (2008).
27. Mitra, P. and Niemeyer, G. "Model-mediated telemanipulation", The International Journal of Robotics Research, 27(2), pp. 253-262 (2008).
28. Llewellyn, F. "Some fundamental properties of transmission systems", Proceedings of the IRE, 40(3), pp. 271-283 (1952).
29. Lee, D. and Spong, M.W. "Passive bilateral teleoperation with constant time delay", IEEE Transactions on Robotics, 22(2), pp. 269-281 (2006).
30. Cho, H.C., Park, J.H., Kim, K., and Park, J.-O. "Sliding-mode-based impedance controller for bilateral teleoperation under varying time-delay", IEEE International Conference on Robotics and Automation (ICRA), Seoul, Korea, 1 pp. 1025-1030 (2001).