DOI QR코드

DOI QR Code

Design of Lateral Fuzzy-PI Controller for Unmanned Quadrotor Robot

무인 쿼드로터 로봇 횡 방향 제어를 위한 Fuzzy-PI 제어기 설계

  • Baek, Seung-Jun (Advanced Electronics and Information Research Center, Chonbuk National University) ;
  • Lee, Deok-Jin (Kunsan National University) ;
  • Park, Jong-Ho (Seonam University) ;
  • Chong, Kil-To (Advanced Electronics and Information Research Center, Chonbuk National University)
  • 백승준 (전북대학교 전자공학부) ;
  • 이덕진 (군산대학교 기계자동차공학부) ;
  • 박종호 (서남대학교 전기전자공학과) ;
  • 정길도 (전북대학교 전자공학부)
  • Received : 2012.11.24
  • Accepted : 2012.12.26
  • Published : 2013.02.01

Abstract

Quadrotor UAV (Unmanned Aerial Vehicle) is a flying robotic platform which has drawn lots of attention in the recent years. The attraction comes from the fact that it is able to perform agile VTOL (Vertical Take-Off Landing) and hovering functions. In addition, the efficient modular structure composed of four electric rotors makes its design easier compared to other single-rotor type helicopters. In many cases, a quadrotor often utilizes vision systems in order to obtain altitude control and navigation solution in hostile environments where GPS receivers are not working or deniable. For carrying out their successful missions, it is essential for flight control systems to have fast and stable control responses of heading angle outputs. This paper presents a Fuzzy Logic based lateral PI controller to stabilize and control the quadrotor vehicle equipped with vision systems. The advantage of using the fuzzy based PI controller lies in the fact that it could acquire a desired output response of a heading angle even in presence of disturbances and uncertainties. The performance comparison of the newly proposed Fuzzy-PI controller and the conventional PI controller was carried out with various simulation results.

Keywords

References

  1. J. H. Ryu, J. H. Park, Y. W. Jang, and D. J. Lee, "The simulation for quadrotor attitude control using sliding mode control," Proc. of 2012 ICROS Jeonbuk-Jeju Regional Conference (in Korean), pp. 108-109, Dec. 2012.
  2. J. H. Hwang, S. Hwang, S. K. Hong, and M. G. Yoo, "Attitude stabilization performance improvement of the quadrotor flying robot," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 18, no. 6, pp. 608-611, Jun. 2012. https://doi.org/10.5302/J.ICROS.2012.18.6.608
  3. Z. Zamudio, R. Lozano, J. Torres, and J. L. Rullan-Lara, "Vision based stabilization of a quadrotor using nested saturation control approach," Proc. of 15th International Conference on System Theory, Control, and Computing (ICSTCC), pp. 1-6, Oct. 2011.
  4. S. J. Baek, D. J. Lee, and K. T. Chong, "Design of lateral controller for quad-rotor UAV using fuzzy control logic," Proc. of 2012 ICROS Jeonbuk-Jeju Regional Conference (in Korean), pp. 77-78, Dec. 2012.
  5. A. M. Singh, D. J. Lee, and K. T. Chong, "Attitude and altitude controllers for quadrotor," Proc. of IEEK Summer Conference, pp. 2557-2558, June 2012.
  6. K. U. Lee, J. B. Park, and Y. H. Choi, "Design of dynamic surface controller for altitude control of quadrotor UAV," Proc. of Conference on Information and Control Systems (in Korean), pp. 203-204, Oct. 2011.
  7. Y. W. Jang, S. T. Lim, T. H. Kim, K. H. Lee, S. J. Baek, and K. T. Chong, "Design and simulation quadrotor controller for stable positioning control," Proc. of Conference on Information and Control Systems (in Korean), pp. 205-206, Oct. 2011.
  8. J. H. Kim, M. S. Kang, and S. D. Park, "Dynamic modeling and robust hovering control of a quadrotor VTOL aircraft," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 14, no. 12, pp. 1260-1265, Dec. 2008. https://doi.org/10.5302/J.ICROS.2008.14.12.1260
  9. S.-Y. Lee, J.-S. Wang, S.-W. Lee, and S.-J. Joo, "Modeling of the Quad-rotor dynamics and controller design, IEEK'2012, pp. 1357-1358, July 2012.
  10. R. W. Beard, "Quadrotor dynamics and control," Bringham Young University, Oct. 2008.

Cited by

  1. Depth Controller Design using Fuzzy Gain Scheduling Method of a Autonomous Underwater Vehicle - Verification by HILS vol.19, pp.9, 2013, https://doi.org/10.5302/J.ICROS.2013.13.9024
  2. Dynamic Modeling and Control Techniques for Multi-Rotor Flying Robots vol.38, pp.2, 2014, https://doi.org/10.3795/KSME-A.2014.38.2.137
  3. Indoor 3D Map Building using the Sinusoidal Flight Trajectory of a UAV vol.21, pp.5, 2015, https://doi.org/10.5302/J.ICROS.2015.14.0103
  4. Intelligent adaptive backstepping control for MIMO uncertain non-linear quadrotor helicopter systems vol.37, pp.3, 2015, https://doi.org/10.1177/0142331214538900
  5. GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV vol.87, pp.5, 2015, https://doi.org/10.1108/AEAT-11-2013-0194