DOI QR코드

DOI QR Code

IFT와 L1 적응제어기법을 이용한 풍동실험용 자기부상 비접촉식 밸런스의 제어시스템 설계

Position and Attitude Control System Design of Magnetic Suspension and Balance System for Wind Tunnel Test using Iterative Feedback Tuning and L1 Adaptive Control Scheme

  • 투고 : 2017.09.11
  • 심사 : 2017.09.26
  • 발행 : 2017.10.31

초록

자기부상 비접촉식 밸런스(MSBS: Magnetic Suspension and Balance System)는 자기력 및 자기모멘트를 이용하여 기계적 접촉 없이 시험 대상체의 위치 및 자세각을 정밀하게 변경하며 외력을 측정하는 것이 가능하다. MSBS를 활용한 풍동실험의 신뢰도 및 안정성을 확보하기 위해서는 위치 및 자세각 제어시스템의 명령 추종 성능과 구성장비의 고장에 대한 강건성을 높일 필요가 있다. 본 연구에서는 실제 개발된 풍동실험용 MSBS의 시뮬레이션을 통해 Iterative Feedback Tuning (IFT)과 $L_1$ adaptive output feedback 알고리즘을 활용하여 제어 이득값을 자동적으로 최적화하고 전류공급장치의 고장에 강건한 제어시스템을 설계하는 방법의 유효성을 검증하였다.

Magnetic Suspension and Balance System (MSBS) demonstrates the capacity to levitate an experimental model absent any mechanical contact using magnetic forces and moments. It allows precise control of position and attitude of the model, and measures external forces and moments acting on the model. For the purpose of acquisition of reliable experimental results under stable and safe conditions, the performance and robustness of the position and attitude control system of MSBS needs to be improved. To this end, Iterative Feedback Tuning (IFT) and L1 adaptive output feedback algorithm were employed to automatically increase command following performance and to ensure robust operation of MSBS with failure of electric power supply. The applicability was validated using computational simulation.

키워드

참고문헌

  1. C. Han, "Aerodynamic Characteristics of a Variable Span Wing Flying Inside a Channel I (Effects of Wing Aspect Ratio and Guideway," Journal of the Society for Aerospace System Engineering, Vol.10, No.4, pp.11-16, 2016. https://doi.org/10.20910/JASE.2016.10.4.11
  2. M. H. Tuttle, D. L. Moore and R. A. Kilgore, "Magnetic Suspension and Balance System; A Comprehensive, Annotated Bibliography," NASA Technical Memorandum, No.4318, 1991.
  3. R. W. Boom, Y. M. Eyssa, G. E. McIntosh, M. K. Abdelsalam, R. G. Scurlock, Y. Y. Wu, M. J. Goodyer, K. Balcerek and J. Eskins, "Superconducting Electromagnets for Large Wind Tunnel Magnetic Suspension and Balance Systems," IEEE Transactions on Magnetics, Vol. MAG-21, No. 2, pp. 444-447, 1985.
  4. D.-K. Lee, J.-S. Lee, J.-H. Han and Y. Kawamura, "Dynamic Calibration of Magnetic Suspension and Balance System for String-free Measurement in Winnd Tunnel Tests," Journal of Mechanical Science and Technology, Vol.27, No.7, pp.1963-1970, 2013. https://doi.org/10.1007/s12206-013-0513-0
  5. D.-K. Lee and J.-H. Han, "Safety-Guaranteed Flight Test Environment for Micro Air Vehicles," AIAA Journal, Vol.54, No.3, pp.1014-1025, 2016.
  6. D.-K. Lee and J.-H. Han, "Development of a Multi Channel Push-Pull Power Supply for a Magnetic Suspension and Balance System," Proceedings of KSAS Conference, Fall, 2012.
  7. J. Jin and J.-H. Jo, "A Test Bench with Six Degrees of Freedom of Motion for Development of Small Quadrotor Drones," Journal of the Society for Aerospace System Engineering, Vol.11, No.1, pp.41-46, 2017.
  8. D.-K. Lee, J.-S. Lee, J.-H. Han, Y. Kawamura and S.-J. Chung, "Development of a Simulator of a Magnetic Suspension and Balance System," International Journal of Aeronautical and Space Science, Vol. 11, No. 3, pp. 175-183, 2010. https://doi.org/10.5139/IJASS.2010.11.3.175
  9. H. Hjalmarsson, "Iterative Feedback Tuning - an Overview," International Journal of Adaptive Control and Signal Processing, Vol.16, pp.373-395, 2002. https://doi.org/10.1002/acs.714
  10. J. K. Huusom, "Improving Convergence of Iterative Feedback Tuning," Journal of Process Control, Vol.19, No.4, pp.570-578, 2009. https://doi.org/10.1016/j.jprocont.2008.09.004
  11. S. Suda, H. Sawada and T. Kunimasu, ''Auto-Tuning System of Control Parameters for Magnetic Suspension System," 47th Proceedings of Japan Joint Automatic Control Conference, 2005.
  12. Y. Jung and D. H. Shim, "Design the Flight Control System against Model Uncertainty," Proceedings of KSAS Conference, Fall, 2012.
  13. N. Hovakimyan and C. Cao, ''L1 Adaptive Control Theory,'' SIAM, 2010.
  14. B. Michini and J. P. How, "$L_1$ Adaptive Control for Indoor Autonomous Vehicles: Design Process and Flight Testing," Proceedings of AIAA Guidance, Navigation and Control Conference, 2009.