한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제18권5호
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  • Pages.642-648
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  • 2008
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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유전자 알고리즘으로 조정된 퍼지 로직 제어기를 이용한 평면 여자유도 매니퓰레이터의 토크 최적화에 관한 연구

A Study on Torque Optimization of Planar Redundant Manipulator using A GA-Tuned Fuzzy Logic Controller

  • 유봉수 (창원대학교 제어계측공학과) ;
  • 김성곤 (창원대학교 제어계측공학과) ;
  • 조중선 (창원대학교 제어계측공학과)
  • 발행 : 2008.10.25
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초록

여자유도 매니퓰레이터의 동적 제어는 관절에 가해지는 토크를 최소화하는 목적으로 많은 연구가 이루어져 왔다. 그러나 기존의 국소 토크 최적화의 동적 제어 방법은 드라이버로 구현하기 힘든 토크가 요구된다. 본 논문에서는 그러한 큰 토크 요구를 상당히 개선시킨 새로운 제어 알고리즘을 제안한다. 이 알고리즘은 기존의 국소 토크 최소화 알고리즘에 퍼지 로직과 유전자 알고리즘을 적용시킨 것이다. 제안된 알고리즘은 3자유도 평면 여자유도 로봇에 적용하였으며, 시뮬레이션 결과를 통하여 제안된 알고리즘의 타당성을 확인하였다.

A lot of researches on the redundant manipulators have been focused mainly on the minimization of joint torques. However, it is well-known that the most dynamic control algorithms using local joint torque minimization cause huge torques which can not be implemented by practical motor drivers. A new control algorithm which reduces considerably such a huge-required-torque problem is proposed in this paper. It adapts fuzzy logic and genetic algorithm to the conventional local joint torque minimization algorithm. The proposed algorithm is applied to a 3-DOF redundant planar robot. Simulation results show that the proposed algorithm works well.

키워드

참고문헌

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