Skip to main content
Log in

A Passive Velocity Field Control for Navigation of Quadrotors with Model-free Integral Sliding Modes

Passive Velocity Field Control of Quadrotors

  • Published:
Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript

Abstract

Velocity field (VF) control has proved effective for kinematic robots, aiming essentially at providing desired velocities for navigation along the field, and for obstacle avoidance in cluttered environments. When robot dynamics are involved, it is usually considered either that dynamics are known and that robot is fully actuated, thus it is not clear how to deal with VF control (VFC) for unknown underactuated dynamics, such as for a quadrotor. Moreover, passive VF (PVF) stands for an attractive methodology for quadrotors because of it yields time-invariant nominal spatial field for smooth approaching and easy manoeuvring. In this paper, we propose a constructive method to design a PVF-based controller with a chattering-free integral sliding modes for local exponential position tracking. The salient feature of our proposal is the passive nature of the field as well as the controller is model-free for the complete standard quasi-Lagrangian dynamic model of the quadrotor. The controller does not require the derivative nor any assumption on boundedness on the integral of the VF, yet the closed-loop withstands robustness against parametric and model uncertainties. Simulations are discussed, and remarks address the viability of the proposed approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Li, P.-Y., Horowitz, R.: Passive velocity field control of mechanical manipulators. IEEE Trans. Robot. Autom. 15(4), 1346–1359 (1999)

    Article  Google Scholar 

  2. Li, P.-Y., Horowitz, R.: Passive velocity field control (PVFC). Part II. Application to contour following. IEEE Trans. Autom. Control 46(9), 1360–1371 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  3. Khatib, O.: Real-Time Obstacle Avoidance for Manipulators And Mobile Robots. In: IEEE Int. Conf. on Robotics and Automation, pp. 500–505 (1985)

  4. Rimon, E., Koditchek, D.E.: Exact robot navigation using artificial potential functions. IEEE Trans. Robot. Autom. 8(5), 501–518 (1992)

    Article  Google Scholar 

  5. Ha, Ch., Choi, F.-B., Lee, D.: Preliminary Results on Passive Velocity Field Control of Quadrotors. In: 2012 Int. Conf. on Ubiquitous Robots and Ambient Intelligence, pp. 378–379 (2012)

  6. Aicardi, M., Casalino, G., Indiveri, G.: Closed loop control of 3D underactuated vehicles via velocity field tracking. In: IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics vol. 1, pp. 355–360 (2001)

  7. Lim, S., Kim, Y., Lee D., Bang, H.: Standoff Target Tracking using a Vector Field for Multiple Unmanned Aircrafts. J. Intell. Robot. Syst. 69, 347–360 (2013)

    Article  Google Scholar 

  8. Yamakita, M., Suzuki, K., Zheng, X.-Z., Katayama, M., Ito, K.: An extension of passive velocity field control to cooperative multiple manipulator systems. In: IEEE/RSJ Int. Conf. on Intelligent Robot and Systems vol. 1, pp. 11–16 (1997)

  9. Erdogan, A., Cihan-Satici, A., Patoglu, V.: Passive velocity field control of a forearm-wrist rehabilitation robot. In: IEEE Int. Conf. on Rehabilitation Robotics, pp.1–8 (2011)

  10. Yamakita, M., Asano, F., Furuta, K.: Passive velocity field control of biped walking robot. In: IEEE Int. Conf. on Robotics and Automation, vol. 3, pp. 3057–3062 (2000)

  11. Parra-Vega, V., Sanchez, A., Izaguirre, C., Garcia, O., Ruiz-Sanchez, F.: Toward Aerial Grasping and Manipulation with Multiple UAVs. In: Int. Conf. on Unmanned Aircraft Systems (ICUAS) (2012)

  12. Parra-Vega, V.: Second Order Sliding Mode Control for Robot Arms with Time Base Generators for Finite-Time Tracking. Dyn. Control. 11, 175–186 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  13. Gillula, J.-H., Hoffmann, G.-M., Huang, H., Vitus, M.-P., Tomlin, C.-J.: Applications of hybrid reachability analysis to robotic aerial vehicles. Int. J. Robot. Res. 30(3), 335–354 (2011)

    Article  Google Scholar 

  14. Guldner, J., Utkin, V.-I.: Sliding Mode Control for Gradient Tracking and Robot Navigation Using Artificial Potential Fields. IEEE Trans. Robot. Autom. 11(2), 247–254 (1995)

    Article  Google Scholar 

  15. Jin, E., Zhao, S.: Robust controllers design with finite time convergence for rigid spacecraft attitude tracking control. Aerosp. Sci. Technol. 12(4), 324–330 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  16. Parra-Vega, V., Arimoto, S., Liu, Y.-H., Hirzinger, G., Akella, P.: Dynamic Sliding PID Control for Tracking of Robots Manipulators: Theory and Experiments. IEEE Trans. Robot. Autom. 19(6), 967–976 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. Parra-Vega.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Munoz-Vazquez, A.J., Parra-Vega, V. & Sanchez, A. A Passive Velocity Field Control for Navigation of Quadrotors with Model-free Integral Sliding Modes. J Intell Robot Syst 73, 373–385 (2014). https://doi.org/10.1007/s10846-013-9892-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10846-013-9892-9

Keywords

Navigation