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쿨롱마찰을 고려한 무인항공기용 영상 김발의 제어시스템 설계

Control System Design for a UAV-Mounted Camera Gimbal Subject to Coulomb Friction

  • 황성필 (세종대학교 항공우주공학과) ;
  • 박재호 (세종대학교 항공우주공학과) ;
  • 홍성경 (세종대학교 항공우주공학과)
  • 투고 : 2012.03.08
  • 심사 : 2012.06.17
  • 발행 : 2012.07.01

초록

One of the frequent problems in the stabilized gimbal system is the rejection of disturbances associated with moving components. Very often such disturbances have non-linear characteristics. In a typical gimbal system, each gimbal and platform are connected by a mutual bearing which induces inevitable friction. Particularly, the non-linear Coulomb friction causes position errors as well as slow responses that lead to unfavorable performance. In this paper, a modified PID controller that is augmented by Coulomb friction estimator is presented. Through constantly estimating the Coulomb friction torque, it is applied to the output of the existing PID controller. The effectiveness of the proposed controller is evaluated through a series of experiments.

키워드

참고문헌

  1. T. H. Lee, K. K. Tan, A. Mamum, M. W. Lee, and C. J. Khoh, "Composite control of a gyro mirror line-of-sight stabilization platform design and autotuning," Intelligent Control and Automation, vol. 5, pp. 3150-3155, 2000.
  2. J. H. Wee and S. K. Hong, "A control system design for the line-of-sight stabilization based on low-cost inertial sensors," Journal of Control, Automation, and Systems Engineering (in Korean), vol. 9, no. 3, pp. 204-209, 2003.
  3. D. Schoenwald, U. Ozguner, and R. Graham, "Control of gimbal dynamics via sensitivity models for uncertainty in friction parameters," Control Applications, vol. 1, pp. 52-57, 1992.
  4. C. Canudas de Wit, H. Olsson, K. J. Astrom, and P. Lischinsky, "A new model for control of systems with friction," IEEE Transactions on Automatic Control, vol.40, no. 3, pp. 419-425, Mar. 1995. https://doi.org/10.1109/9.376053
  5. B. Armstrong-Helouvry, P. Dupont, and C. Canudas de Wit, "A survey of models, analysis tools and compensation methods for the control of machines with friction," Automatica, vol. 30, no. 7, pp. 1083-1138, 1994. https://doi.org/10.1016/0005-1098(94)90209-7
  6. C. D. Walrath, "Adaptive bearing friction compensation based on recent knowledge of dynamic friction," Automatica, vol. 20, pp. 717-727, 1984. https://doi.org/10.1016/0005-1098(84)90081-5
  7. B. Friedland and Y. J. Park, "On adaptive friction compensation," IEEE Transactions on Automatic Control, vol. 37, no. 10, pp. 1609-1612, Oct. 1992. https://doi.org/10.1109/9.256395
  8. Y. Y. Cha, "The comparison experiment of rotation range of rc servo motors according to change of a periods," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 17, no. 11, pp. 1179-7782, Nov. 2011. https://doi.org/10.5302/J.ICROS.2011.17.11.1179
  9. L. Ljung, "Prediction error estimation methods," Circuits Systems Signal Processing, vol. 21, no. 1, pp. 11-21, 2002. https://doi.org/10.1007/BF01211648
  10. A. Yazdizadeh and K. Khorasani "Adaptive friction compensation based on the lyapunov scheme," Proceedings of the 1996 IEEE International Conference on Control Applications Dearborn, MI, pp. 1060-1065, 1996.

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