한국정밀공학회지 (Journal of the Korean Society for Precision Engineering)

  • 제30권8호
  • /
  • Pages.824-830
  • /
  • 2013
  • /
  • 1225-9071(pISSN)
  • /
  • 2287-8769(eISSN)
한국정밀공학회 (Korean Society for Precision Engineering)
권호 표지
DOI QR코드

DOI QR Code

마찰을 고려한 버터플라이 밸브의 강인 제어기 설계

Design of a Robust Controller for the Butterfly Valve with Considering the Friction

  • 최정주 (동아대학교 산학협력단 연구지원실)
  • Choi, Jeongju (Dong-A University Research Foundation for Industry-Academy Cooperation, Dong-a Univ.)
  • 투고 : 2012.04.03
  • 심사 : 2013.07.16
  • 발행 : 2013.08.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

We propose a tracking control system for butterfly valves. A sliding mode controller with a fuzzy-neural network algorithm was applied to the design of the tracking control system. The control scheme used the real-time update law for the unmodeled system dynamics using a fuzzy-neural network algorithm. The performance of the proposed control system was assessed through a range of experiments.

키워드

참고문헌

  1. Cho, S. H. and Lee, M. W., "Simple Adaptive Position Control of a Hydraulic Cylinder-load System Driven by a Proportional Directional Control Valve," J. Korean Soc. Precis. Eng., Vol. 28, No. 8, pp. 936- 941, 2011.
  2. Lee, S. M., Park, Y. C., and Jo, Y. J., "The Structural Safety Evaluation for Butterfly Valve of Extra-Large Type Using Fluid-Structure Interaction Techniques," Proc. of KSPE Autumn Conference, pp. 571-572, 2008
  3. Bae, T. S., Kim, S. P., and Lee, K. H., "Structural Optimization of a Manifold Valve for Pressure Vessel," J. Korean Soc. Precis. Eng., Vol. 26, No. 12, pp. 102-109, 2009.
  4. Duan, H., Liu, S., Wang, D., and Yu, X., "Design and realization of hybrid ACO-based PID and LuGre friction compensation controller for three degree-offreedom high precision flight simulator," Simulation Modelling Practice and Theory, Vol. 17, No. 6, pp. 1160-1169, 2009. https://doi.org/10.1016/j.simpat.2009.04.006
  5. Armstrong, B. and Amin, B. "PID control in the presence of static friction: A comparison of algebraic and describing function analysis," Automatica, Vol. 32, No. 5, pp. 679-692, 1996. https://doi.org/10.1016/0005-1098(95)00199-9
  6. Brian, A. H., Dupont, P., and De Wit, C. C., "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
  7. Claudio, G., "Comparison of friction models applied to a control valve," Control Engineering Practice, Vol. 16, No. 10, pp. 1231-1243, 2008. https://doi.org/10.1016/j.conengprac.2008.01.010
  8. Slotine, J. J. and Li, W., "Applied Nonlinear Control," Prentice Hall, 1991.
  9. Lin, F. J., Shen, P. H., Yang, S. L., and Chou, P. H., "Recurrent radial basis function network-based fuzzy neural network control for permanent-magnet linear synchronous motor servo drive," IEEE Transactions on magnetics, Vol. 42, No. 11, pp. 3694-3705, 2006. https://doi.org/10.1109/TMAG.2006.880995