• 제목/요약/키워드: Fuzzy Logic System

검색결과 1,664건 처리시간 0.033초

An Expert System for the Fault Diagnosis of Hard Disk Drive Test System

  • Moon, Un-Chul;Kim, Woo-Kuen;Lee, Seung-Chul
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2424-2429
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    • 2005
  • Hard Disk Drive (HDD) test system is the equipment for the final test of HDD product by iterative read/write/seek test. This paper proposes an expert system for the fault diagnosis of HDD test systems. The purposed expert system is composed with two cascade inference, fuzzy logic and conventional binary logic. The fuzzy logic determines the possibility of the system fault using the test history data, then, the binary logic inferences the fault location of the test system. The proposed expert system is tested in SAMSUNG HDD product line, KUMI, KOREA, and shows satisfactory results.

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교류-직류 시스템의 동특성 개선을 위한 SVC RVEGA-Fuzzy 제어기 설계 (A Design of SVC RVEGA-Fuzzy Controller to Improve Dynamic Response of AC-DC System)

  • 정형환;허동렬;왕용필;정문규;고희석
    • 대한전기학회논문지:전력기술부문A
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    • 제51권10호
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    • pp.483-494
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    • 2002
  • In this thesis an optimal design technique of fuzzy logic controller using the real variable elitist genetic algorithm(RVEGA) as a supplementary control to Static Var Compensator(SVC) in order to damp oscillation in an AC-DC Dower system was proposed. Fuzzy logic controller is designed self-tuning shape of fuzzy rule and fuzzy variable using genetic algorithm based on natural selection and natural genetics. To verify the robustness of the proposed method, considered dynamic response of system by applying a load fluctuation.

퍼지논리를 이용한 차량 구동력 제어 시스템 (Vehicle Traction Control System using Fuzzy Logic Theory)

  • 서영덕;여문수;이승종
    • 한국자동차공학회논문집
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    • 제6권5호
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    • pp.138-145
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    • 1998
  • Recently, TCS(Traction Control System) is attracting attention, because it maintains traction ability and steerability of vehicles on low-$\mu$ surface roads by controlling the slip rate between tire and road surface. The development of TCS control law is difficult due to the highly nonlinearity and uncertainty involved in TCS. A fuzzy logic approach is appealing for TCS. In this paper, fuzzy logic controller for TCS is introduced and evaluated by the computer simulation with 8 DOF vehicle model. The result indicate that the fuzzy logic TCS improves vehicle's stability and steerability.

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퍼지로직 기반 보안기능 통합형 능동 환기 시스템 (Fuzzy Logic Based Active Ventilation System with Security Function)

  • 정병찬;김훈모
    • 한국자동차공학회논문집
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    • 제14권3호
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    • pp.58-67
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    • 2006
  • In this paper, fuzzy logic based active ventilation system with security function is proposed and implemented. We can easily experience the situation that inner air is so hot to get start immediately after parking at summer day. Hot temperature is enough to explode a gas lighter or to suffocate a little chid. Proposed system has 1 blower and 2 axial fans to ventilate inner air. Based on the fuzzy logic, speed and direction of each fan are controlled. In addition to controlling fans, controller put down windows and adjust the periods of open time. In order to prevent the theft and security problems, IR sensors are used to detect objects. On detecting objects, controller put up windows. Experimental result shows that implemented system can be effectively ventilate inner air and reduce temperature. Proposed system can be applicable to commercial automobiles.

지능형 자동차를 위한 퍼지논리기반 주차 시스템 설계 (Design of Fuzzy Logic Based Parking Systems for Intelligent Vehicles)

  • 학양화;김태균;최병재
    • 한국지능시스템학회논문지
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    • 제18권1호
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    • pp.109-115
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    • 2008
  • 무인자동차에 관한 연구가 활성화되면서 무인 주차 또한 중요한 과제로 대두되고 있다. 본 논문에서는 무인차랑을 위한 주차 편의 시스템 설계를 위하여 퍼지논리시스템에 의한 주차 알고리즘 설계를 제안하고자 한다. 기존의 논문들이 제시한 장단점을 분석하여 새로운 단일 입력을 가지는 퍼지논리시스템을 통한 주차 알고리즘을 설계하고, 시뮬레이션을 통하여 그 효용성을 확인하고자 한다.

열과 연기농도를 입력변수로 갖는 퍼지로직을 이용한 화재감지시스템 (A Fire Detection System Using Fuzzy Logic with Input Variables of Temperature and Smoke Density)

  • 홍성호;김두현;김상철
    • 한국화재소방학회논문지
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    • 제18권4호
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    • pp.42-51
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    • 2004
  • 본 논문은 열과 연기농도를 입력변수로 갖는 퍼지로직을 적용한 화재감지시스템을 제시한 연구이다. 본 논문에서 제시한 화재감지시스템은 열과 연기농도를 입력신호로 받아들이고 이를 통하여 화재가능성이 추론되는 퍼지추론시스템을 포함하고 있다. 이 추론시스템의 조건부(antecedent part)는 fuzzy 단일 값(singleton)으로 열과 연기농도가 입력되도록 하였고, 결론부(conclusion part)는 화재가능성으로 적용하였다. 또한 퍼지추론을 위하여 적용된 membership함수는 삼각형 membership함수이다 추론하는 방법은 Mamdani가 제안한 minimum 연산을 사용하였다. 그리고 이러한 계산을 위하여 Matlab 프로그램을 사용하였고 이 프로그램을 이용하여 GUI(graphic user interface)기반의 화재감지프로그램을 개발하였다. 이와 같은 퍼지로직이 적용된 화재감지시스템의 신뢰성을 검증하기 위하여 불꽃화재와 훈소화재에 대한 실험을 통하여 추론되는 화재가능성을 분석하였다. 그 결과 본 연구의 퍼지로직을 적용한 화재감지시스템은 연소상황에 따라 비교적 정확하게 화재가능성을 추론하였다.

직류전동기 드라이브 시스템의 성능개선을 위한 퍼지제어 (Fuzzy Control for Performance Improvement of DC Motor Drive System)

  • 정동화
    • 한국안전학회지
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    • 제14권1호
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    • pp.55-65
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    • 1999
  • Fuzzy logic fuzzy set theory is recently getting increasing emphasis in process control applications. This paper describes application of fuzzy logic in a speed control system that uses a phase controlled bridge converter and a separately excited dc motor. The fuzzy control is used to linearize the transfer characteristics of the converter in discontinuous conduction mod occurring at light load and high speed. The fuzzy control is then extended to the current and speed control loops replacing the conventional PI control method. The control algorithms have been developed in detail and verified by simulation of a DC motor(DM) drive system. The simulation result indicates the superiority of fuzzy control over the conventional control methods. Fuzzy logic seems to have a lot of promise in the applications of power electronics.

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Design of Fault Tolerant Control System for Steam Generator Using Fuzzy Logic

  • Kim, Myung-Ki;Seo, Mi-Ro
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1998년도 춘계학술발표회논문집(1)
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    • pp.321-328
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    • 1998
  • A controller and sensor fault tolerant system jot a steam generator is designed with fuzzy logic. A structure of the : proposed fault tolerant redundant system is composed of a supervisor and two fuzzy weighting modulators. A supervisor alternatively checks a controlled and a sensor induced performances to identify Which Part, a controller or a sensor, is faulty. In order to analyze controller induced performance both an error and a charge in error of the system output an chosen as fuzzy variables. The fuzzy logic jot a sensor induced performance uses two variables : a deviation between two sensor outputs and its frequency, Fuzzy weighting modulator generates an output signal compensated for faulty input signal. Simulations show that the : proposed fault tolerant control scheme jot a steam generator regulates welt water level by suppressing fault effect of either controllers or sensors. Therefore through duplicating sensors and controllers with the proposed fault tolerant scheme, both a reliability of a steam generator control and sensor system and that of a power plant increase even mote.

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퍼지 논리 제어기를 사용한 축방향지지력 제어 (Suspending Force Control of 12/14 BLSRM Using Fuzzy Logic Controller)

  • 하잉걸;;안진우
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2015년도 제46회 하계학술대회
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    • pp.845-847
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    • 2015
  • A suspending force control based on fuzzy logic control is proposed to apply on a novel hybrid bearingless switched reluctance motor(BLSRM) which has separated torque and suspending force pole. Due to the unique structure, the suspending force control system can be easily decoupled from torque control system. In this paper, two fuzzy controller targeted at x-axis direction and y-axis direction are adopted to maintain the shaft at center position, which is very necessary for stable operation of BLSRM. By replacing the traditional PI block with modified fuzzy logic controller, the suspending system can behave a good performance, and the proposed scheme can be verified by simulation results.

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저주파 진동 감쇠를 위한 TCSC제어에 유전알고리즘을 이용한 퍼지제어기 설계 (A Design Method for a Fuzzy Logic Controller of TCSC Using Genetic Algorithm for Damping Power System Oscillation)

  • 임승욱;김태유;송명근;황기현;박준호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 D
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    • pp.838-840
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    • 1997
  • This presents a design method for fuzzy logic controllers of TCSC using genetic algorithm. Fuzzy logic controllers are applied to damp the dynamic disturbances sum as sudden changes of AC system loads. The dynamic performances of fuzzy logic controllers are compared with those of PI controllers. The simulation results show that dynamic performances of fuzzy controllers have better response than those of PI controllers when the AC system load changes.

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