DOI QR코드

DOI QR Code

A Study on Adjustment Optimization for Dynamic Balancing Test of Helicopter Main Rotor Blade

헬리콥터 주로터 블레이드 동적밸런싱 시험을 위한 조절변수 최적화 연구

  • Received : 2016.09.21
  • Accepted : 2016.11.07
  • Published : 2016.11.20

Abstract

This study describes optimization methods for adjustment of helicopter main rotor tracking and balancing (RTB). RTB is a essential process for helicopter operation and maintenance. Linear and non-linear models were developed with past RTB test results for estimation of RTB adjustment. Then global and sequential optimization methods were applied to the each of models. Utilization of the individual optimization method with each model is hard to fulfill the RTB requirements because of different characteristics of each blade. Therefore an ensemble model was used to integrate every estimated adjustment result, and an adaptive method was also applied to adjustment values of the linear model to update for next estimations. The goal of this developed RTB adjustment optimization program is to achieve the requirements within 2 run. Additional tests for comparison of weight factor of the ensemble model are however necessary.

Keywords

References

  1. Kim, D. K., Yun, C. Y., Kim, S. B., Song, K. W. and Kang, S. N., 2009, A Conceptual Study on the Dynamic Balancing of Helicopter Main Rotor Blade, Proceedings of the KSNVE Annual Spring Conference, pp. 373~374.
  2. Bechhoefer, E. and Dennis, P., 2003, IMD HUMS Rotor Track and Balance Techniques, IEEE Aerospace Conference Proceedings, Vol. 7, pp. 3205~3211.
  3. Miller, N. A. et al., 2008, A Comparison of Main Rotor Smoothing Adjustments Using Linear and Neural Network Algorithms, Journal of Sound and Vibration, Vol. 311, No. 3-5, pp. 991~1003. https://doi.org/10.1016/j.jsv.2007.09.041
  4. Yang, D., Wang, S. and Danai, K., 2001, Helicopter Track and Balance by Interval Modeling, American Helicoper Society 57th Annual Forum.
  5. Jung, S. N. et al., 2011, Development of Dynamic Balancing Technologies for a Rotor System, KHP Consignment Research Report.
  6. Yu, Y. H., Lee, S. H., Jung, S. N., Kim, C. J. and Kim, W. C., 2015, Optimization of RTB Parameters Using a Nonlinear Helicopter Model, Proceedings of KSAS Fall Conference, pp. 901~904.
  7. Song, K. W., 2015, Technology on Vibration / RTB Data Acquisition / Analysis of Rotorcraft, AH-X Offset program Report #20, KARI.
  8. Kim, D. K., Yun, C. Y., Kim, S. B., Song, K. W., Kim, S. H. et al., 2010, Dynamic Balancing Test of KUH Main Rotor Blade, Proceedings of the KSNVE Annual Spring Conference, pp. 80~81.
  9. Song, K. W., Kim, D. K., Kim, S. Y. and Song, J. R., 2015, Slection and Application of Master Blade for Helicopter Main Rotor Blade Dynamic Balancing, Proceedings of KSAS Fall Conference, pp. 244~249.
  10. Yun, C. Y., Kim, D. K. and Kim, S. Y., 2012, Rotor Blades Balancing for Helicopter Vibration Reduction, Proceedings of the KSNVE Annual Autumn Conference, pp. 87~88.
  11. Park, S. H., 1998, Modern Design of Experiments, MinYoung Co., Seoul, Korea.
  12. Lee, S. H., 2008, Data Analysis of Engineering Statistics Using Minitab, Eretec, Gyeonggi-do, Korea.
  13. Bae, H. G., 2012, A Study on EGO Method for Aerodynamic Optimal Design, Ph.D. Dissertation, KAIST.
  14. Acar, E. and Rais-Rohan, M., 2008, Ensemble of Metamedels with Optimized Weight Factors, 49th AIAA Structural Dynamics and Materials Conference, pp. 1~20.