Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
권호 표지

Position Control System using Neural Network Algorithm for Butterfly Valve

신경망 알고리즘을 이용한 버터플라이 밸브의 위치제어

  • 최정주 (동아대학교 고기능성밸브기술지원센터)
  • Published : 2012.10.31
⟨ Previous Next ⟩

Abstract

Butterfly valves are usually used by the plumbing systems in plant engineering field. Valves are used for controlling the flow rate and pressure of fluid. In order to control the flow rate using butterfly valve, the position control of valve disc should be designed. However, since there are lots of uncertain disturbance in plumbing system, the robust control system should be considered. Therefore, the sliding mode control system using neural network algorithm is proposed in this paper. The proposed control system provides the estimating method using neural network for the unmeasurable disturbance in the plumbing system. The performance of the proposed control system is evaluated through computer simulations.

Keywords

References

  1. Thomas, P., Simulation of Industrial Processes for Control Engineers, Elsevier, pp. 60-67, 1999.
  2. Park, J. Y. and Chung, M. K., "Study on Hydrodynamic Torque of a Butterfly Valve", Journal of Fluids Engineering, Vol. 128, No. 1, pp. 190-195, 2006. https://doi.org/10.1115/1.2137348
  3. Leutwyler, Z. and Dalton, C., "A CFD Study of the Flow Field, Resultant force, and Aerodynamic Torque on a Symmetric Disk Butterfly Valve in a Compressible Flow", Journal of Pressure Vessel Technology, Vol. 130, No. 2, pp. 316-331, 2008.
  4. Naseradinmousavi, P and Natarj, C., "Nonlinear Mathematical Modeling of Butterfly Valves Driven by Solenoid Actuators", Applied Mathematical Modelling Vol. 35, pp. 2324-2335, 2011. https://doi.org/10.1016/j.apm.2010.11.036
  5. Srinivasan, R. and Rengaswamy, R., "Approaches for efficient stiction compensation in process control valves", Computers and Chemical Engineering, Vol. 32, No. 1-2, pp. 218-229, 2008. https://doi.org/10.1016/j.compchemeng.2007.05.005
  6. Kayihan, A. and Doyle, F. J., "Friction compensation for a process control valve", Control Engineering Practice, Vol. 8, No. 7, pp. 799-812, 2000. https://doi.org/10.1016/S0967-0661(00)00038-1
  7. Leephakpreeda, T., "Flow-sensorless control valve: neural computing approach", Flow Measurement and Instrumentation, Vol. 14, No. 6, pp. 261-266, 2003. https://doi.org/10.1016/S0955-5986(03)00029-3
  8. Slotine, J. J. and Li, W., Applied Nonlinear Control, PrenticeHall, Englewood Cliffs, NewJersey, 1991.
  9. Zhang, D. Q. and Panda, S. K., "Chattering-free and fast-response sliding mode controller", Proceedings of IEEControl Theory and Application, Vol. 146, No. 2, pp. 171-177, 1999. https://doi.org/10.1049/ip-cta:19990518