한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제12권1호
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  • Pages.80-84
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  • 2002
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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헬리콥터 시스템의 퍼지 분산 제어기 설계

A Decentralized Control Technique for Experimental Nonlinear Helicopter Systems

  • Kim, Moon-Hwan (Dept. of Electronic Eng., Yonsei Univ. Seoul, 139-221, Korea) ;
  • Park, Jin-Bae (Dept. of Electronic Eng., Yonsei Univ. Seoul, 139-221, Korea) ;
  • Lee, Ho-Jae (Dept. of Electronic Eng., Yonsei Univ. Seoul, 139-221, Korea) ;
  • Cha, Dae-Bum (School of Electronic and Imformation Eng., Kunsan National Univ. Kunsan, chonbuk) ;
  • Joo, Young-Hoon (School of Electronic and Imformation Eng., Kunsan National Univ. Kunsan, chonbuk)
  • 발행 : 2002.02.01
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초록

본 논문은 2자유도 실험용 헬리콥터 시스템의 제어를 위한 분산 제어기 설계 기법을 제안한다. 분산제어기법은 특히 대규모 제어 시스템에 적합하다고 알려져 있다. 본 논문에서는 Lyapunov 안정도 설계 방법을 이용하여 상호 연결된 TS 퍼지 시스템의 안정도 조건을 유도하고 선형 행렬 부등식을 이용하여 제어기 설계 조건을 공식화한다. 제안된 방법의 유용성을 검증하기 위해, 컴퓨터 시뮬레이션뿐 만 아니라 실험을 통해 그 결과를 도출한다.

This paper proposes a decentralized control technique for 2-dimensional experimental helicopter systems. The decentralized control technique is especially suitable in large-scale control systems. We derive the stabilization condition for the interconnected Takagi-Sugeno (TS) fuzzy system using the rigorous tool-Lyapunov stability criterion and formulate the controller design condition in terms of linear matrix inequality (LMI). To demonstrate the feasibility of the proposed method, we include the experiment result as well as a computer simulation one, which strongly convinces us the applicability to the industry.

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참고문헌

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피인용 문헌

  1. Design, Control, and Implementation of Small Quad-Rotor System Under Practical Limitation of Cost Effectiveness vol.13, pp.4, 2013, https://doi.org/10.5391/IJFIS.2013.13.4.324
  2. A Study on Identification using Particle Swarm Optimization for 3-DOF Helicopter System vol.25, pp.2, 2015, https://doi.org/10.5391/JKIIS.2015.25.2.105
  3. T-S Fuzzy Formation Controlling Phugoid Model-Based Multi-Agent Systems in Discrete Time vol.26, pp.4, 2016, https://doi.org/10.5391/JKIIS.2016.26.4.308