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Model-Free Control to Maneuver an Uncertain 2-DOF Manipulator Robot

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Advances in Automation and Robotics Research (LACAR 2021)

Abstract

A model-free control approach-based solution for the trajectory tracking control problem of an uncertain flat system is presented. The solution was accomplished by solving a nonlinear uncertain second-order flat system. The unknown matching dynamics are identified through a conveniently proposed algebraic estimator or iterated integrator. The non-available states were obtained by applying a high-gain observer. The stability analysis of the closed-loop system, together with the high-gain observer, was accomplished through the Lyapunov method. The effectiveness of the proposed controller was evaluated in a partially known 2-DOF manipulator, having obtained satisfactory results.

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Notes

  1. 1.

    Recall that the output \(y=x_{1}\).

  2. 2.

    For simplicity, the following notation is employed:

    $$\begin{aligned} \begin{array}{ccc} s_{2}=\sin q_{2},&c_{2}=\cos q_{2};&s_{12}=\sin (q_{1}+q_{2}). \end{array} \end{aligned}$$

    .

Reference

  1. Azhmyakov, V., Poznyak, A., Gonzalez, O.: On the robust control design for a class of nonlinearly affine control systems: the attractive ellipsoid approach. J. Ind. Manage. Optim. 9(3), 579–593 (2013)

    MathSciNet  MATH  Google Scholar 

  2. de Jesús Rubio, J.: Structure control for the disturbance rejection in two electromechanical processes. J. Franklin Institute 353(14), 3610–3631 (2016)

    Google Scholar 

  3. de Jesús Rubio, J., Ochoa, G., Balcazar, R., Pacheco, J.: Uniform stable observer for the disturbance estimation in two renewable energy systems. ISA Trans. 58, 155–164 (2015)

    Article  Google Scholar 

  4. Dullerud, G.E., Paganini, F.: A Course in Robust Control Theory: A Convex Approach, vol. 36. Springer, New York (2013). https://doi.org/10.1007/978-1-4757-3290-0

  5. Edwards, C., Colet, E.F., Fridman, L., Colet, E.F., Fridman, L.M.: Advances in Variable Structure and Sliding Mode Control, vol. 334. Springer, Heidelberg (2006)

    Google Scholar 

  6. Fliess, M., Join, C.: Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control? In: 15th IFAC Symposium on System Identification (SYSID 2009) (2009)

    Google Scholar 

  7. Fliess, M., Join, C.: Model-free control. Int. J. Control 86(12), 2228–2252 (2013)

    Article  MathSciNet  Google Scholar 

  8. Fliess, M., Join, C., Sira-Ramirez, H.: Non-linear estimation is easy. Int. J. Model. Ident. Control 4(1), 12–27 (2008)

    Article  Google Scholar 

  9. Gao, Z., Huang, Y., Han, J.: An alternative paradigm for control system design. In: Proceedings of the 40th IEEE Conference on Decision and Control 2001, vol. 5, pp. 4578–4585. IEEE (2001)

    Google Scholar 

  10. Han, J.: From PID to active disturbance rejection control. IEEE Trans. Ind. Electron. 56(3), 900–906 (2009)

    Article  Google Scholar 

  11. Hou, Z., Xiong, S.: On model-free adaptive control and its stability analysis. IEEE Trans. Autom. Control 64(11), 4555–4569 (2019)

    Article  MathSciNet  Google Scholar 

  12. Khalil, H.K., Praly, L.: High-gain observers in nonlinear feedback control. Int. J. Robust Nonlinear Control 24(6), 993–1015 (2014)

    Article  MathSciNet  Google Scholar 

  13. Krstic, M., Kokotovic, P.V., Kanellakopoulos, I.: Nonlinear and Adaptive Control Design. Wiley, Hoboken (1995)

    Google Scholar 

  14. Liu, K.-Z., Yao, Y.: Robust Control: Theory and Applications. Wiley, Hoboken (2016)

    Google Scholar 

  15. Moreno-Valenzuela, J., Santibáñez, V., Campa, R.: On output feedback tracking control of robot manipulators with bounded torque input. Int. J. Control Autom. Syst. 6(1), 76–85 (2008)

    Google Scholar 

  16. Sira-Ramirez, H., Agrawal, S.K.: Differentially flat Systems. CRC Press (2004)

    Google Scholar 

  17. Tian, G., Gao, Z.: Frequency response analysis of active disturbance rejection based control system. In: IEEE International Conference on Control Applications 2007. CCA 2007, pp. 1595–1599. IEEE (2007)

    Google Scholar 

  18. Zhou, W., Shao, S., Gao, Z.: A stability study of the active disturbance rejection control problem by a singular perturbation approach. Appl. Math. Sci. 3(10), 491–508 (2009)

    MathSciNet  MATH  Google Scholar 

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Correspondence to Miguel S. Suarez-Castanon .

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Aguilar-Ibanez, C., Suarez-Castanon, M.S., Saldivar, B., Barron-Fernandez, R., Rubio, J. (2022). Model-Free Control to Maneuver an Uncertain 2-DOF Manipulator Robot. In: Moreno, H.A., Carrera, I.G., Ramírez-Mendoza, R.A., Baca, J., Banfield, I.A. (eds) Advances in Automation and Robotics Research. LACAR 2021. Lecture Notes in Networks and Systems, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-030-90033-5_6

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