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Design of a Real Time Path of Motion Using a Sliding Mode Control with a Switching Surface

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)

Abstract

Due to an increasing variety of tasks in production systems, the programming of robots becomes more complex. The aim of this work is, therefore, to simplify the work involved in programming of different contours as much as possible. Instead of specifying individual points of a contour in code, only one start and one end position are given. The movement between the two points is changed in real time by a robust control scheme, thus simplifying the programming effort for different contours. In this work, the robot is considered as a black box system and the approach to control consists only of considering the error of position and velocity without model. In the presented case, the development of the controller has shown that an Integral Sliding Mode Control (ISMC) strategy does not provide the desired control quality because of the presence of unavoidable saturating actuators in robots. Furthermore, a better result could be achieved with a Sliding Mode Control (SMC) approach that switches between two predefined surfaces. With this approach, good dynamic performances are obtained, in particular, in terms of overshoot which proves to be drastically reduced. Validations of the proposed method are obtained using real measurements realized on an industrial robot.

Keywords

Sliding Mode Control Robots Trajectory control Applications 

References

  1. 1.
    Chang, W.: Hybrid force and vision-based contour following of planar robots. J. Intell. Rob. Syst. 3(47), 215–237 (2006)CrossRefGoogle Scholar
  2. 2.
    Galicki, M.: Finite-time control of robotic manipulators. Automatica 51, 49–54 (2015)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Galicki, M.: Finite-time trajectory tracking control in a task space of robotic manipulators. Automatica 67, 165–170 (2016)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Mercorelli, P.: An anti-saturating adaptive preaction and a slide surface to achieve soft landing control for electromagnetic actuators. IEEE/ASME Trans. Mechatron. 17(1), 76–85 (2012)CrossRefGoogle Scholar
  5. 5.
    Slotine, J.E., Li, W.: Applied Nonlinear Control. Prentice-Hall, Englewood Cliffs (1991)zbMATHGoogle Scholar
  6. 6.
    Su, Y., Zheng, C., Mercorelli, P.: Global finite-time stabilization of planar linear systems with actuator saturation. IEEE Trans. Circuits Syst. II Express Briefs 64(8), 947–951 (2017)CrossRefGoogle Scholar
  7. 7.
    Su, Y., Zheng, C., Mercorelli, P.: Robust approximate fixed-time tracking control for uncertain robot manipulators. Mech. Syst. Signal Process. 135, 106379 (2020)CrossRefGoogle Scholar
  8. 8.
    Xian, B., Dawson, D.M., de Queiroz, M.S., Chen, J.: A continuous asymptotic tracking control strategy for uncertain nonlinear systems. IEEE Trans. Autom. Control 49(7), 1206–1211 (2004)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Zheng, C., Su, Y., Mercorelli, P.: Simple relay non-linear PD control for faster and high-precision motion systems with friction. IET Control Theory Appl. 12(17), 2302–2308 (2018)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Zheng, C., Su, Y., Mercorelli, P.: Faster positioning of one degree-of-freedom mechanical systems with friction and actuator saturation. J. Dyn. Syst. Meas. Control Trans. ASME 141(6), DS-17-1558 (2019).  https://doi.org/10.1115/1.4042883
  11. 11.
    Zheng, C., Su, Y., Mercorelli, P.: A simple nonlinear PD control for faster and high-precision positioning of servomechanisms with actuator saturation. Mech. Syst. Signal Process. 121, 215–226 (2019)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of Product and Process InnovationLeuphana University of LueneburgLueneburgGermany

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