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The Fuzzy Attitude Control of Visual Servo System

  • Yuying Zhang
  • Yingmin Jia
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)

Abstract

The attitude control problem of multi-degree-of-freedom systems has received considerable attention. In this paper, a fuzzy attitude control method is proposed for the multi-degree-of-freedom visual servo system, which is comprised of a target device and a tracking device. The target device has a single freedom, while the track device has four. Firstly, based on characteristics of this system, the kinematic model is established. Next, the excepted attitude is computed from the feature point on the pictures got by the CMOS camera. Then, a fuzzy controller is designed to make the device’s attitude meet our requirement. Finally, a simulation platform of the system is developed in MATLAB environment. The result demonstrates that the proposed fuzzy controller can improve the nonlinear coupling system performance.

Keywords

Visual servo Fuzzy control Attitude control MATLAB 

References

  1. 1.
    Y. Shirai, H. Inoue, Guiding a robot by visual feedback in assembling tasks. Pattern Recogn. 2(5), 99–106 (1973)CrossRefGoogle Scholar
  2. 2.
    D.-M. Chuang, S.-C. Wu, M. Hor, Adaptive fuzzy visual servoing in robot control, in IEEE International Conference on Robotics and Automation (1997), pp. 811–816Google Scholar
  3. 3.
    M. Sidi, Spacecraft Dynamics and Control, A Practical Engineering Approach (Cambridge University Press, 1997)Google Scholar
  4. 4.
    M. Navabi, M. Rajab Ali Fardi, Based fuzzy gain scheduled PD law for spacecraft attitude control, in Congress on Fuzzy and Intelligent System (2018), pp. 149–151Google Scholar
  5. 5.
    J. Ghommam, N. Fethalla, M. Saad, Quad rotor circumnavigation of an unknown moving target using camera vision-based measurements. IET Control Theory Appl. 10(15), 1874–1887 (2016)Google Scholar
  6. 6.
    F. Muñoz, I. González-Hernández, S. Salazar et al., Second order sliding mode controllers for altitude control of a quad rotor UAS: real-time implementation in outdoor environments. Neurocomputing 233, 61–71 (2017)Google Scholar
  7. 7.
    Y. Zou, Nonlinear robust adaptive hierarchical sliding mode control approach for quad rotors. Int. J. Robust Nonlinear Control 27, 925–941 (2017)CrossRefGoogle Scholar
  8. 8.
    R.F. Stengel, Intelligent failure tolerant control. IEEE Control Syst. Mag. 11(4), 14–23 (1991)CrossRefGoogle Scholar
  9. 9.
    L.A. Zadeh, Fuzzy sets. Inf. Control 8(3), 338–353Google Scholar
  10. 10.
    L. Mazmanyan, M.A. Ayoubi, Fuzzy attitude control of spacecraft with fuel sloshing via linear matrix inequalities. IEEE Trans. Aerosp. Electron. Syst. (2018)Google Scholar
  11. 11.
    W. Pedrycz, Fuzzy Control and Fuzzy System, 2nd edn. (Research Studies Press Ltd.)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.The Seventh Research Division and the Center for Information and Control, School of Automation Science and Electrical EngineeringBeihang University (BUAA)BeijingChina

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