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Design of Robust Controller using Neural Network and Sliding Mode

  • Kim, Min-Chan (Department of Electrical Engineering, Changwon National University) ;
  • Kim, Tae-Kue (Department of Electrical Engineering, Changwon National University) ;
  • Park, Seung-Kyu (Department of Electrical Engineering, Changwon National University) ;
  • Kwak, Gun-Pyong (Department of Electrical Engineering, Changwon National University) ;
  • Ahn, Ho-Kyun (Department of Electrical Engineering, Changwon National University) ;
  • Yoon, Tae-Sung (Department of Electrical Engineering, Changwon National University)
  • 투고 : 2010.05.24
  • 심사 : 2010.06.07
  • 발행 : 2010.06.30

초록

This paper derives a nominal state relationship (NSR) from the data of a nominal system. Through an example of a second order system, it is shown that the relationship can be derived only in the system with different real eigenvalues. In higher order system, the relationship is expressed by using neural network (NN). The derived NSR is used to design a noble sliding surface with a nominal system characteristic. By using the sliding surface, the robustness of the sliding mode control (SMC) is added to the pole-placement control.

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참고문헌

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