• 제목/요약/키워드: FLC(fuzzy logic controller)

검색결과 225건 처리시간 0.022초

병렬형 랜덤 신호 기반 학습을 이용한 퍼지 제어기의 설계 (Design of a Fuzzy Controller Using the Parallel Architecture of Random Signal-based Learning)

  • 한창욱;오세진
    • 융합신호처리학회논문지
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    • 제12권1호
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    • pp.62-66
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    • 2011
  • 본 논문에서는 퍼지 제어기를 최적화하기 위하여 시뮬레이티드 어닐링(simulated annealing)과 결합한 병렬형 랜덤 신호 기반 학습법을 제안하였다. 랜덤 신호 기반 학습은 직렬 탐색구조로 되어 있어서 지역 탐색 능력은 뛰어나지만 전역 탐색 능력은 부족하다. 이러한 문제점을 극복하기 위하여 다양한 탐색 영역을 가지는 병렬형 랜덤 신호 기반 학습법이 소개 되었으며, 시뮬레이티드 어닐링을 랜덤 신호 기반 학습과 결합하여 학습 능력을 향상시켰다. 제안된 최적화 알고리즘을 도립진자 제어를 위한 퍼지 제어기 설계 최적화에 적용하여 그 유효성을 보였다.

퍼지 전문가 제어 기법을 이용한 시설재배 자동화 소프트웨어의 구현 (Implementation of an Automation System Using Fuzzy Expertized Control Algorithm for the Cultivation in a Greenhouse)

  • 김승우
    • 컴퓨터교육학회논문지
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    • 제7권1호
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    • pp.67-77
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    • 2004
  • 본 논문에서는 시설내 작물재배 시스템의 완전자동화를 구현함에 동시에 자동 제어 방식 설계상에 존재하는 많은 문제들 때문에 실현하지 못했던 작물의 직접제어자동화를 구현하였다. 시설내 작물재배 자동제어 시스템은 제어대상에 따라서 세 가지로 구분될 수 있다. 시설외부로부터 기상 환경 등을 계측하여서 시설내 재배 제어에 응용하는 외부 환경 제어, 시설 내부 환경을 직접 계측하고 제어하는 내부 환경 제어, 작물의 성장에 직접 공급되는 배양액의 적절한 조성에 관련된 배양액 제어로 나눌 수 있다. 본 논문에서는 이 세 가지의 자동 제어시스템을 완전 실현하며, 배양액의 급액량을 제어함으로서 작물의 우량 성장을 자동적으로 조절할 수 있는 고난도 제어시스템을 설계하였다.

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A Novel Photovoltaic Power Harvesting System Using a Transformerless H6 Single-Phase Inverter with Improved Grid Current Quality

  • Radhika, A.;Shunmugalatha, A.
    • Journal of Power Electronics
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    • 제16권2호
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    • pp.654-665
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    • 2016
  • The pumping of electric power from photovoltaic (PV) farms is normally carried out using transformers, which require heavy mounting structures and are thus costly, less efficient, and bulky. Therefore, transformerless schemes are developed for the injection of power into the grid. Compared with the H4 inverter topology, the H6 topology is a better choice for pumping PV power into the grid because of the reduced common mode current. This paper presents how the perturb and observe (P&O) algorithm for maximum power point tracking (MPPT) can be implemented in the H6 inverter topology along with the improved sinusoidal current injected to the grid at unity power factor with the average current mode control technique. On the basis of the P&O MPPT algorithm, a power reference for the present insolation level is first calculated. Maintaining this power reference and referring to the AC sine wave of bus bars, a sinusoidal current at unity power factor is injected to the grid. The proportional integral (PI) controller and fuzzy logic controller (FLC) are designed and implemented. The FLC outperforms the PI controller in terms of conversion efficiency and injected power quality. A simulation in the MATLAB/SIMULINK environment is carried out. An experimental prototype is built to validate the proposed idea. The dynamic and steady-state performances of the FLC controller are found to be better than those of the PI controller. The results are presented in this paper.

모델차량의 자동운전을 위한 퍼지제어규칙의 설계 (Designing of Fuzzy Control Rules for Automatic Driving of A Model Car)

  • 전정우;정경채;이달해;이석규;이해영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.967-969
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    • 1996
  • This paper presents fuzzy control rules for automatically driving a model car. The model car has a two sensors. This sensors measure a road outline and get a distance between a model car and a road outline. A Fuzzy Logic Controller(FLC) bases on a knowledge of the human experience. A FLC designed successfully controls the model car. Simulations results verifies the validity of proposed algorithm.

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Torque Ripple Minimization Scheme Using Torque Sharing Function Based Fuzzy Logic Control for a Switched Reluctance Motor

  • Ro, Hak-Seung;Lee, Kyoung-Gu;Lee, June-Seok;Jeong, Hae-Gwang;Lee, Kyo-Beum
    • Journal of Electrical Engineering and Technology
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    • 제10권1호
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    • pp.118-127
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    • 2015
  • This paper presents an advanced torque ripple minimization method of a switched reluctance motor (SRM) using torque sharing function (TSF). Generally, TSF is applied into the torque control. However, the conventional TSF cannot follow the expected torque well because of the nonlinear characteristics of the SRM. Moreover, the tail current that is generated at a high speed motor drive makes unexpected torque ripples. The proposed method combined TSF with fuzzy logic control (FLC). The advantage of this method is that the torque can be controlled unity at any conditions. In addition, the controller can track the torque under the condition of the wrong TSF. The effectiveness of the proposed algorithm is verified by the simulations and experiments.

자기구성 퍼지 제어기법에 의한 AM1 로봇의 위치 및 속도 제어 (Position and Velocity Control of AM1 Robot Using Self-Organization Fuzzy Control Technology)

  • 김종수;최석창;이종붕;김치원;한성현
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 춘계학술대회 논문집
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    • pp.550-555
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    • 2002
  • In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller or the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed for a hierarchical control structure consisting of basic level and high level that modify control rules.

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자기구성 퍼지 제어기법에 의한 AM1 로봇의 위치 및 속도 제어 (Position and Velocity Control of AM1 Robot Using Self-Organization Fuzzy Control Technology)

  • 김종수;이병국;최석창;한성현
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
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    • pp.202-207
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    • 2001
  • In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed for a hierarchical control structure consisting of basic level and high level that modify control rules.

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자기구성 퍼지 제어기법에 의한 수직다관절(AM1) 로봇의 위치 및 속도 제어 (Position and Velocity Control of AM1 Robot Using Self-Organization Fuzzy Control Technology)

  • 김종수
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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    • pp.165-170
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    • 2000
  • In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, in the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed for a hierachical control structure consisting of basic level and high level that modify control rules.

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자기구성 퍼지 제어기법에 의한 로봇 매니퓰레이터의 지능제어에 관한 연구 (A Study on Intelligent Control of Robot Manipulator Using Self-Organization Fuzzy Control Technology)

  • 김종수;김용태;한성현
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1999년도 춘계학술대회 논문집
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    • pp.193-198
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    • 1999
  • In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed for a hierarchical control structure consisting of basic level and high level that modify control rules.

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유전자알고리즘을 이용한 스마트 면진시스템의 퍼지제어 (Fuzzy Control of Smart Base Isolation System using Genetic Algorithm)

  • 김현수
    • 한국지진공학회논문집
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    • 제9권2호통권42호
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    • pp.37-46
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    • 2005
  • 현재까지 많은 스마트 면진시스템이 제안되었고 연구되어 왔다. 본 연구에서는 스마트 면진시스템의 면진장치와 보조감쇠 장치로서 새로운 형태의 마찰진자시스템(FPS)과 MR 감쇠기를 각각 사용한다. 퍼지로직제어기(FLC)가 고유의 견실성과 비선형 및 불확실성을 쉽게 다룰 수 있는 능력이 있기 때문에 MR 감쇠기의 감쇠력을 조절하는데 FLC를 사용한다. 또한 FLC의 성능을 최적화 하기 위해서는 유전자알고리즘(GA)을 사용한다. GA를 사용함으로써 소속함수의 형상을 조절하는 것뿐만 아니라 적절한 퍼지제어규칙을 결정할 수 있다. 이를 위하여 본 연구에서는 부분개선 유전자알고리즘을 사용하였다. 이 방법은 유전자의 특정부분을 향상시키는데 효율적이다. FPS와 MR 감쇠기의 동적거동을 표현하기 위해서는 뉴로?퍼지 모델을 사용한다. FLC의 최적설계를 위하여 본 연구에서 제안된 방법의 효율성은 여러 가지 역사지진을 사용하여 계산된 동적응답을 기초로 하여 평가한다. 예제해석결과 제안된 방법은 적절한 퍼지규칙을 찾을 수 있고 GA로 최적화된 FLC는 수동제어기 뿐만 아니라 전문가의 지식에 기반한 FLC와 전통적인 준능동제어기보다 더 좋은 성능을 발휘한다.