Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Design of the Boiler-Turbine Controller Using Neural Adaptive Control Schemes

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  • Lee, Sun-Ho (Dept. of Electrical Eng. of Gyeongsang National Univ.) ;
  • Kim, Gwan-Soo (Dept. of Electrical Eng. of Gyeongsang National Univ.) ;
  • Lee, Byeng-Gi (Dept. of Electrical Eng. of Gyeongsang National Univ.) ;
  • Lee, Soon-Young (Dept. of Electrical Eng. of Gyeongsang National Univ.)
  • Published : 2000.07.17
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Abstract

In this paper, it is proposed a neural adaptve control algorithm for boiler-turbine system. Control inputs are constructed using RBF Neural networks and variable structure inputs are added to improve the robustness. This proposed algorithm does not need the information about parameters and can assure the robustness under the output disturbance and parameter perturbations. The results of computer simulations is presented to verify the efficiency of the proposed algorithm.

Keywords