Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Design of Controller for Nonlinear Multivariable System Using Neural Network Sliding Surface

신경망 슬라이딩 곡면을 이용한 비선형 다변수 시스템의 제어기 설계

  • Ku, Gi-Jun (Dept. of Information Communication & Computer Networks, Hallym College) ;
  • Cho, Hyun-Seob (Dept. of Digital Broadcasting & Electronic Engineering, Chungwoon Univ.)
  • 구기준 (한림성심대학 정보통신네트워크과) ;
  • 조현섭 (청운대학교 디지털방송공학과)
  • Published : 2009.10.31
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Abstract

The variable structure control(VSC) with sliding mode is the discontinuous control law in leads to undesirable chattering in practice. As a method solving this problem, in this paper, we propose a scheme of the VSC with neural network sliding surface. A neural network sliding surface with boundary layer is employed to solve discontinuous control law. The proposed controller can eliminate the chattering problem of the conventional VSC. The effectiveness of the proposed control scheme is verified by simulation results.

슬라이딩 모드를 가진 가변 구조 제어(VSC)에서의 불연속적인 제어 법칙은 실제로 바람직하지 못한 떨림 현상을 발생시킨다. 본 논문에서는 이러한 문제점을 해결하기 위해 신경망 슬라이딩 곡면을 갖는 VSC 구조를 제안한다. 불연속 제어 법칙을 해결하기 위해 경계층을 가진 신경망 슬라이딩 곡면이 도입된다. 제안된 제어기는 보편적인 VSC의 떨림 현상 문제를 해결할 수 있다. 제안된 제어 구조의 효과는 시뮬레이션을 통해 증명하였다.

Keywords

References

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