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Controlling of Dam Gates with Outflow Control by Dynamic Fuzzy Inference

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(7), pp.75-82
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Woo, Young Woon 1 이수종 2 Kwang Baek Kim ORD ID 3

1동의대학교
2협성대학교
3신라대학교

Accredited

ABSTRACT

Control of dam gates is a complex, nonlinear, and non-stationary control process and is significantly affected by hydrological conditions which are not predictable beforehand. In this paper, we proposed control methods based on a fuzzy inference method for the operation of dam gates. The proposed methods are not only suitable for controlling gates but also able to maintain target water level in order to prepare a draught, and able to control the amount of the outfow from a reservoir in order to prevent floods in lower areas of a river. In the proposed methods, we used the dynamic fuzzy inference method that membership functions can be varied by changing environment conditions for keeping up the target water level instead of conventional static fuzzy inference methods, and used additional fuzzy rules and membership functions for restricting the amount of the outflow. Simulation results demonstrated that the proposed methods produce an efficient solution for both of maintaining target water level defined beforehand and controlling the amount of the outflow.

Citation status

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