Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Control of Inertially Stabilized Platform Using Disturbance Torque Estimation and Compensation

외란토크 추정 및 보상을 이용한 관성안정화 플랫폼의 제어

  • Choi, Kyungjun (Dept. of Mechatronics Engineering, Chungnam Nat'l Univ.) ;
  • Won, Mooncheol (Dept. of Mechatronics Engineering, Chungnam Nat'l Univ.)
  • 최경준 (충남대학교 메카트로닉스공학과) ;
  • 원문철 (충남대학교 메카트로닉스공학과)
  • Received : 2014.11.21
  • Accepted : 2015.11.18
  • Published : 2016.01.01
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Abstract

In this study, we propose a control algorithm for Inertially Stabilized Platforms (ISP), which combines Disturbance Observer (DOB) with conventional proportional integral derivative (PID) control algorithm. A single axis ISP system was constructed using a direct drive motor. The joint friction was modeled as a nonlinear function of joint speed while the accuracy of the model was verified through experiments and simulation. In addition, various Q-filters, which have different orders and relative degrees of freedom (DOF), were implemented. The stability and performance of the ISP were compared through experimental study. The performance of the proposed PID-plus-DOB algorithm was compared with the experimental results of the conventional double loop PID control under artificial vehicle motion provided motion simulator with six DOF.

본 논문에서는 기존의 관성안정화 플랫폼에서 보편적으로 사용됐던 PID 제어에 외란관측기를 적용하는 알고리즘 제안한다. 외란관측기 알고리즘을 적용하기 위하여 직접구동 모터로 구동되는 안정화 플랫폼 축의 관성모멘트와 축 마찰 특성을 실험적으로 구하고, 시뮬레이션과 실험결과를 비교하여 정확도를 검증하였다. 또한 차수와 상대차수가 다른 여러 가지 Q-filter 적용실험을 통하여 필터 특성에 따른 시스템의 안정성을 확인하였다. 본 논문에서 제안한 알고리즘은 6 자유도 시뮬레이터를 이용하여 차량 모션 인가실험을 통해 이중 PID 제어 루프의 결과와 비교/검증하였다.

Keywords

References

  1. Yosida, T., Ohata, K. and Ueba, M., 2005, "Highly Accurate and Cost-Effective Auto-Tracking Antenna System for Satellite Broadband Communication on Vessels," NTT Technical Review, Vol. 3, No. 9 pp.60-71.
  2. Hilkert, J. M., 2008, "Inertially Stabilized Platform Technology," IEEE Control System Magazine, pp. 26-46.
  3. Nakao, M., Ohnishi, K. and Miyuki, K., 1987, "A Robust Decentralized Joint Control Based on Interference Estimation," Proc. IEEE International Conference on Robotics and Automation, Vol. 4, pp. 326-331.
  4. Hurak, Z. and Rezac, M., 2012, "Image-Based Pointing and Tracking for Inertially Stabilized Airborne Camera Platform," IEEE Transactions On System Technology, Vol. 20, No. 5, pp. 1146-1159. https://doi.org/10.1109/TCST.2011.2164541
  5. Crag, K., Rensselaer Polytechnic Institute, "http://multimechatronics.com/images/uploads/mech_n/Sensor_Fusion.pdf."
  6. Lee, H., 1994, "Robust Digital Tracking Controllers for High-Speed, High-Accuracy Positioning System," Ph. D Thesis, Dept. of Mechanical Engr. U. C. Berkeley.
  7. Lee, H., Oh, Y. and Song, J., 2010, "Torque Sensor Based Robot Arm Control Using Disturbance Observer," International Conference on Control Automation and Systems, pp. 1697-1700.
  8. Umeno, T. and Hori, Y., 1991, "Robust Speed Control of DC Servo Motors Using Modern Two Degree of Freedom Controller Design," IEEE Trans. on Industrial Electronics, Vol. 38, pp. 363-368. https://doi.org/10.1109/41.97556
  9. Nakashima, T., Chang, M.-C. and Hong, S.-K., 2004, "Design and Performance Evaluation of a Complementary Filter for Inverted Pendulum Control with Inertial Sensors," 2004 Conference on Information and Control Systems, Vol. 2004, No. 11, pp. 544-546.
  10. Park, J.-K. and Jung, S., 2008, "A Design Approach of the Disturbance Observer for the Electro-optical Tracking System," International Conference on Control, Automation and Systems 2008, pp. 497-502.