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Disturbance Observer-Based Control of Master and Slave Systems with Input Saturation

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Abstract

Stability and transparency are the primary aims in the control nonlinear master and slave systems. Ignoring input saturation and disturbances like dynamic uncertainties may result in performance depression and instability of the system. This paper proposes a nonlinear controller to guarantee the stability and to ameliorate the adverse effects of disturbances, time delays and input saturation on a master and slave system. First, a disturbance observer is developed without requiring acceleration measurements. Then, a disturbance observer-based control law is proposed for the case of input saturation to suppress the problems caused by saturation. The proposed controller can prevent the actuators to work beyond their capabilities and also, effectively handles abnormal situations. The Lyapunov-based analysis shows the ultimately boundedness of the closed-loop signals. Finally, simulations are given to validate the results.

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REFERENCES

  1. Hashemzadeh, F. and Tavakoli, M., Position and force tracking in nonlinear teleoperation systems under varying delays, Robotica, 2015, vol. 33, no. 4, pp. 1003–1016.

    Article  Google Scholar 

  2. Lee, D. and Li, P.Y., Passive bilateral feedforward control of linear dynamically similar teleoperated manipulators, IEEE Trans. Rob. Autom., 2003, vol. 19, no. 3, pp. 443–456.

    Article  Google Scholar 

  3. Lee, D. and Li, P.Y., Passive bilateral control and tool dynamics rendering for nonlinear mechanical teleoperators, IEEE Trans. Rob., 2005, vol. 21, no. 5, pp. 936–951.

    Article  Google Scholar 

  4. Lee, D. and Spong, M.W., Passive bilateral teleoperation with constant time delay, IEEE Trans. Rob., 2006, vol. 22, no. 2, pp. 269–281.

    Article  Google Scholar 

  5. Anderson, R.J. and Spong, M.W., Bilateral control of teleoperators with time delay, IEEE Trans. Autom. Control, 1989, vol. 34, no. 5, pp. 494–501.

    Article  MathSciNet  Google Scholar 

  6. Forouzantabar, A., Azadi, M., and Masoumi, H., Sliding mode control of bilateral teleoperation system with time delay, 2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP), 2017, pp. 55–59.

  7. Liu, X., Tavakoli, M., and Huang, Q., Nonlinear adaptive bilateral control of teleoperation systems with uncertain dynamics and kinematics, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 4244–4249.

  8. Liu, X. and Tavakoli, M., Adaptive inverse dynamics four-channel control of uncertain nonlinear teleoperation systems, Adv. Rob., 2011, vol. 25, nos. 13–14, pp. 1729–1750.

    Article  Google Scholar 

  9. Liu, X., Tao, R., and Tavakoli, M., Adaptive control of uncertain nonlinear teleoperation systems, Mechatronics, 2014, vol. 24, no. 1, pp. 66–78.

    Article  Google Scholar 

  10. Chopra, N. and Spong, M.W., Adaptive coordination control of bilateral teleoperators with time delay, 43rd IEEE Conference on Decision and Control, CDC, 2004, pp. 4540–4547.

  11. Kim, B.-Y. and Ahn, H.-S., A design of bilateral teleoperation systems using composite adaptive controller, Control Eng. Pract., 2013, vol. 21, no. 12, pp. 1641–1652.

    Article  Google Scholar 

  12. Forouzantabar, A., Talebi, H., and Sedigh, A., Adaptive neural network control of bilateral teleoperation with constant time delay, Nonlinear Dyn., 2012, vol. 67, no. 2, pp. 1123–1134.

    Article  MathSciNet  Google Scholar 

  13. Smith, A.C. and Van Hashtrudi-Zaad, K., Neural network-based teleoperation using Smith predictors, 2005 IEEE International Conference on Mechatronics and Automation, 2005, pp. 1654–1659.

  14. Wang, H., Liu, P.X., and Liu, S., Adaptive neural synchronization control for bilateral teleoperation systems with time delay and backlash-like hysteresis, IEEE Trans. Cybern., 2017, vol. 47, no. 10, pp. 3018–3026.

    Article  Google Scholar 

  15. Yang, Y., Ge, C., Wang, H., Li, X., and Hua, C., Adaptive neural network based prescribed performance control for teleoperation system under input saturation, J. Franklin Inst., 2015, vol. 352, no. 5, pp. 1850–1866.

    Article  MathSciNet  Google Scholar 

  16. Yang, Y., Hua, C., and Guan, X., Adaptive fuzzy finite-time coordination control for networked nonlinear bilateral teleoperation system, IEEE Trans. Fuzzy Syst., 2014, vol. 22, no. 3, pp. 631–641.

    Article  Google Scholar 

  17. Li, Z., Xia, Y., Wang, D., Zhai, D.-H., Su, C.-Y., and Zhao, X., Neural network-based control of networked trilateral teleoperation with geometrically unknown constraints, IEEE Trans. Cybern., 2016, vol. 46, no. 5, pp. 1051–1064.

    Article  Google Scholar 

  18. Vidoni, R., Gasparetto, A., and Giovagnoni, M., Design and implementation of an ERLS-based 3-D dynamic formulation for flexible-link robots, Rob. Comput.-Integr. Manuf., 2013, vol. 29, no. 2, pp. 273–282.

    Article  Google Scholar 

  19. Lammerts, I.M.M., Adaptive Computed Reference Computed Torque Control of Flexible Manipulators, Eindhoven University of Technology, 1993.

    MATH  Google Scholar 

  20. Moschini, D. and Fiorini, P., Performance of robotic teleoperation system with flexible slave device, 2004 IEEE International Conference on Robotics and Automation, Proceedings. ICRA'04, 2004, pp. 3696–3701.

  21. Mahvash, M. and Dupont, P., Bilateral teleoperation of flexible surgical robots, IEEE International Conference on Robotics and Automation, Workshop on New Vistas and Challenges in Telerobotics, 2008, pp. 58–64.

  22. Jayender, J., Azizian, M., and Patel, R.V., Bilateral telemanipulation of a flexible catheter in a constrained environment, IEEE International Conference on Robotics and Automation,2008. ICRA 2008, 2008, pp. 649–654.

  23. Tavakoli, M. and Howe, R.D., Haptic effects of surgical teleoperator flexibility, Int. J. Rob. Res., 2009, vol. 28, no. 10, pp. 1289–1302.

    Article  Google Scholar 

  24. Beasley, R.A. and Howe, R.D., Increasing accuracy in image-guided robotic surgery through tip tracking and model-based flexion correction, IEEE Trans. Rob., 2009, vol. 25, no. 2, pp. 292–302.

    Article  Google Scholar 

  25. Atashzar, S., Talebi, H., Shahbazi, M., Towhidkhah, F., Patel, R., and Shojaei, S., Control challenges in non-minimum phase telerobotics systems, 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2011, pp. 152–157.

  26. Rashidinejad, A., Nikravesh, S., and Talebi, H., Nonlinear bilateral teleoperation with flexible-link slave manipulator, 2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM), 2015, pp. 284–289.

  27. Yaryan, M., Naraghi, M., Rezaei, S.M., Zareinejad, M., and Ghafarirad, H., Modified PD based bilateral nonlinear teleoperation with flexible link robots, 2013 21st Iranian Conference on Electrical Engineering (ICEE), 2013, pp. 1–6.

  28. Tavakoli, M. and Howe, R.D., Haptic implications of tool flexibility in surgical teleoperation, 2008 Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2008, pp. 377–378.

  29. Lee, S. and Lee, H.S., A kinesthetically coupled teleoperation: Its modeling and control, Fifth International Conference on Advanced Robotics,1991. “Robots in Unstructured Environments,” 91 ICAR, 1991, pp. 255–260.

  30. Ahn, S.H. and Yoon, J.S., A bilateral control scheme for 2-DOF telemanipulators with control input saturation, Control Eng. Pract., 2002, vol. 10, no. 10, pp. 1081–1090.

    Article  Google Scholar 

  31. Lee, S.-J. and Ahn, H.-S., Controller designs for bilateral teleoperation with input saturation, Control Eng. Pract., 2014, no. 33, pp. 35–47.

  32. Kawai, Y. and Fujita, M., Experimental implementation of bilateral teleoperation with time delay using command governor, SICE Annual Conference,2008, IEEE, pp. 2877–2882.

  33. Lee, S.-J. and Ahn, H.-S., Synchronization of bilateral teleoperation systems with input saturation, 2010 International Conference on Control Automation and Systems (ICCAS), IEEE, 2010, pp. 1357–1361.

  34. Mohammadi, A., Disturbance observer design for robotic and telerobotic systems, Master of Science Thesis, 2011.

  35. Chen, W.-H., Ballance, D.J., Gawthrop, P.J., and O’Reilly, J., A nonlinear disturbance observer for robotic manipulators, IEEE Trans. Ind. Electron., 2000, vol. 47, no. 4, pp. 932–938.

    Article  Google Scholar 

  36. Sciavicco, L. and Siciliano, B., Modeling and Control of Robot Manipulators, New York: McGraw-Hill, 1996, vol. 8.

    MATH  Google Scholar 

  37. De Luca, A. and Siciliano, B., Regulation of flexible arms under gravity, IEEE Trans. Rob. Autom., 1993, vol. 9, no. 4, pp. 463–467.

    Article  Google Scholar 

  38. De Luca, A. and Siciliano, B., Closed-form dynamic model of planar multilink lightweight robots, IEEE Trans. Syst. Man Cybern., 1991, vol. 21, no. 4, pp. 826–839.

    Article  MathSciNet  Google Scholar 

  39. Lewis, F.L., Dawson, D., and Abdallah, C.T., Control of Robot Manipulators, Prentice Hall PTR, 1993.

    Google Scholar 

  40. Arteaga, M.A., On the properties of a dynamic model of flexible robot manipulators, J. Dyn. Syst. Measur. Control, 1998, vol. 120, no. 1, pp. 8–14.

    Article  Google Scholar 

  41. Madhavan, S.K. and Singh, S.N., Inverse trajectory control and zero dynamics sensitivity of an elastic manipulator, IEEE American Control Conference, 1991, pp. 1879–1884.

  42. Atashzar, S.F., Shahbazi, M., Talebi, H.A., and Towhidkhah, F., A force observation method for tracking control of flexible-link manipulators, Robotica, 2013, vol. 31, no. 4, pp. 669–677.

    Article  Google Scholar 

  43. Talebi, H.A., Patel, R.V., and Khorasani, K., Control of Flexible-Link Manipulators Using Neural Networks, Springer Science and Business Media, 2001, vol. 261.

    MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, Marvdash Branch, Islamic Azad University, Marvdasht, Iran

    P. Rasouli, A. Forouzantabar, M. Moattari & M. Azadi

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  1. P. Rasouli
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  2. A. Forouzantabar
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  3. M. Moattari
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  4. M. Azadi
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Correspondence to A. Forouzantabar.

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Rasouli, P., Forouzantabar, A., Moattari, M. et al. Disturbance Observer-Based Control of Master and Slave Systems with Input Saturation. Aut. Control Comp. Sci. 54, 19–29 (2020). https://doi.org/10.3103/S0146411620010095

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  • DOI: https://doi.org/10.3103/S0146411620010095

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