• Title/Summary/Keyword: 퍼지논리 제어

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A Novel Fuzzy Logic Controller for Systems with Dedzones (사구간이 존재하는 시스템을 위한 새로운 퍼지 논리 제어기)

  • 이선우;박종환;김종환
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.43 no.3
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    • pp.468-477
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    • 1994
  • Existing fuzzy control methods do not perform well when applied to systems containing nonlinearities arising from unkonwn deadzones. In particular, we show that a conventional fuzzy logic controller applied to a system with a deadzone suffers from poor transient performance and a large steady-syate error. In this paper, we propose a novel two-layered fuzzy logic controller for controlling systems with deadzones. The two-layered control structure consists of a fuzzy logic-based precompensator followed by a conventional fuzzy logic controller. Our proposed controller exhibits superior transient and steady-state performance compared to conventional fuzzy controllers. In addition, the controller is robust to variations in deadzone nonlinearities. We illustrate the effectiveness of our scheme using computer simulation examples.

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Intelligent Control of a Induction Motor Using a Fuzzy Set (퍼지 논리를 이용한 유도 전동기의 지능제어)

  • Kim, Dong-Hwa;Park, Jin-Ill
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2129-2131
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    • 2001
  • Induction motor has been using for industrial field. Up to the present time, the PID controller has been used to operate this system. However, it is very difficult to achieve an optimal PID gain without any experience, since the gain of the PID controller has to be manually tuned by trial and error procedures. This paper focuses on the fuzzy control for optimal control of the induction motor in plant. In order to attain optimal control, flux, torque and speed controller has been used and an fuzzy logic based controller has been applied to this system. The results of the fuzzy are compared with the PID controller tuned by the Ziegler-Nickels method, through various simulation based on the various disturbance and step response. The simulation results of the fuzzy control represent a more satisfactory response than those of the conventional controllers.

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Bandwidth control for the performance improvement of BASK system (BASK 시스템의 성능 개선을 위한 대역폭 제어)

  • Kang, Seong-Ho;Lee, Chang-Young;NamKung, Wook;Hwan, Kyo-Hwan;Eom, Ki-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.521-524
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    • 2005
  • We propose a method for improving the performance of BASK system using the automatic band width control of low pass filter of receive. Instead of a fixed bandwidth, proposed method is used to the fuzzy logic system. The inputs of fuzzy logic system are remainder and integral of remainder, and the output is bandwidth of low pass filter. The efficacy of the proposed method is verified by means of simulation.

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SMGA : An Efficient Coevolutionary Algorithm based on Species Splitting and Merging (SMGA : 종족의 분할과 병합을 이용한 효율적인 공진화 알고리즘)

  • 도영아;박성진;김명원
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10b
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    • pp.134-136
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    • 2000
  • 진화 알고리즘은 자원 관리, 스케줄링, 퍼지 논리 재어기의 설계 등의 다양한 문제들에 적용되는, 일반적이고 효율적인 최적화 방법이다. 그러나 이러한 진화 알고리즘의 문제점은 탐색해야할 변수의 증가에 따라 차원의 증가로 인하여 탐색공간이 기하급수적으로 늘어난다는 것이다. 이러한 문제점을 해결하기 위해 Potter와 Dejong은 개개의 종족을 독립적으로 진화시킴으로써 탐색공간을 대폭 줄인, 협력 공진화 알고리즘을 제안하였다. 그러나 이것 또한 변수 의존성이 강한 문제들에 대해서는 비효율적인 탐색을 하는 문제점이 있다. 본 논문에서는 종족의 분할과 병합을 이용한 효율적인 공진화 알고리즘을 제안한다. 이 알고리즘은 최적화 하려는 변수들이 서로 의존성이 없는 경우에는 종족의 분할을 통하여 탐색공간의 축소의 이점을 얻고, 최적화 하려는 변수들이 서로 의존성이 있는 경우에는 종족의 병합을 통하여 전역탐색을 하도록 한다. 제안하는 알고리즘을 상품재고 제어 문제(ICP)로 실험하여 현존하는 어떤 공진화 알고리즘보다도 효율적인 결과를 보여준다.

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An Expert System using Fuzzy and Binary logic for the Fault Diagnosis of Hard Disk Drive Test System (Hard Disk Drive 검사시스템의 고장 진단을 위한 퍼지-이진 논리 결합형 전문가 시스템에 관한 연구)

  • 문운철;이승철;남창우
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.6
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    • pp.457-464
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    • 2004
  • Hard Disk Drive (HDD) test system is an 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 production line, KUMI, KOREA, and shows satisfactory results.

A Study on the Expert PID Autotuner Using Fuzzy Logic (퍼지 논리를 이용한 전문가 PID 자기 동조 제어기에 관한 연구)

  • Kim, Young-Sang;Choi, Han-Ho;Chung, Myung-Jin;Ahn, Tae-Young
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.366-368
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    • 1993
  • In this paper, we present an approach to automatically tune and adapt PID parameters by using Fuzzy Logic. PID controllers are well-known and found in many industries. Although the potentials of PID controllers, PID controllers are often poorly tuned and their capabilities are not fully used. We can think that the tuning of PID parameters is based on heuristics and some rule of thumbs. This is the reason we come to use Fuzzy Logic. We show that by imbedding heuristics and some rule of thumbs in PID controllers, reperesented by Fuzzy Logic. we can make PID controllers be robust to uncertainties such as load variations and adapt parameter changes.

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Study on the Parameter Auto Tuned Genetic Algorithm for OCST Design Problems (최적 통신 스패닝 트리 설계 문제를 위한 파라미터 자동조절 유전알고리즘에 대한 연구)

  • Kim, Jong Ryul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.857-860
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    • 2009
  • 최근 유무선 통신 시스템의 발전에 따른 인터넷 환경의 급격한 변화는 가상공간의 출현과 유비쿼터스 컴퓨팅 환경 구축에 대한 요구를 가속화시키고 있으며 이와 관련된 이론 및 기술의 발전을 주도해 왔다. 이와 관련한 문제들 중에 가장 근간이 되는 문제들 중 하나는 최적 통신 스패닝 트리(OCST: Optimal Communication Spanning Tree) 문제이다. 본 논문에서는 이러한 최적 통신 스패닝 트리 문제를 해결하기 위해 파라미터를 자동 조절하는 유전 알고리즘 (Parameter Auto Tuned GA, PAT-GA)을 이용한다. 제안하는 유전 알고리즘은 교차율, 돌연변이율과 같은 파라미터를 자동조절하기 위해 퍼지 논리 제어기 (FLC: Fuzzy Logic Controller)를 이용한다. 임의로 생성된 예제에 대한 수치 실험을 통해 통신시스템의 기본 문제 중 하나인 최적 통신 스패닝 트리 문제의 해법으로서의 제안 알고리즘의 유용성과 효율성을 확인한다.

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A Study on the Detection Technique of the Flame and Series arc by Poor Contact (접촉 불량에 의한 불꽃 및 직렬아크의 검출 기법에 관한 연구)

  • Woo, Kim Hyun;Hyun, Baek Dong
    • Fire Science and Engineering
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    • v.26 no.6
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    • pp.24-30
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    • 2012
  • This study is on the method of the detection for flame and series arc which can be happened at poor contact point added a vibration in part of contact point of low voltage line. In general, the causes of electric fire are over current, short circuit, poor contact, ect. The over-current or short circuit among those causes is detected by measuring a instant current value, but poor contact is difficult to detect by measuring a excessive value of the voltage and current and a distortion of waveforms. And therefore, in this paper, it is studied on the optimal technique of the arc judgement using fuzzy logic and MDET (Multi Dimension Estimation Technique). And it carries out the simulation for arc detection and the experiment for controller and load test. In result, the controller and detection algoristhm, is classified with normal wave and abnormal arc wave without relation with each loads and so the controller can detect a series arc successfully.

The Implementation of the Intelligent Exoskeleton Robot Arm Using ElectroMiogram(EMG) vital Signal (근전도 생체 신호를 이용한 지능형 외골격 로봇팔의 구현)

  • Jeon, Bu-Il;Cho, Hyun-Chan;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.5
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    • pp.533-539
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    • 2012
  • The purpose of this study is to estimate a validity of control signal through a design of Exoskeleton Robot Arm's capable of intelligent recognition as a human arm's motion by using realtime processed data of generated EMG signals. By an intelligent algorithm, the EMG output value of human biceps and triceps muscles contraction can be recognized and used for the control over exoskeleton arm corresponding to human's recognition and judgement. The EMG sensing data of muscles contraction and relaxation are used as the input signal from human's body to operate the Exoskeleton Robot Arm thus copying human arm motion. An intelligent control of Exoskeleton Robot Arm is to design the analog control circuit which processes the input data, and then to manufacture an integrated control board. And then abstracted signal is passed by DSP signal processing, Fuzzy logic algorithm is designed for a accurate prediction of weight or load through the intelligent algorithm, and design an Exoskeleton Robot Arm to express a human's intention.

An Indoor Positioning System for Mobile Robots Using Visible Light Communication and Fuzzy Logic (가시광 통신과 퍼지 논리를 이용한 모바일 로봇의 실내 위치 인식 시스템)

  • Kim, Jun-Young;Kim, Ji-Su;Kang, Geun-Taek;Lee, Won-Chang
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.2
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    • pp.75-82
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    • 2016
  • Visible light communication (VLC) using LED lamps is suitable for implementing an indoor positioning system in an indoor environment where the global positioning system (GPS) signal does not reach. In this paper, we present an indoor positioning system for mobile robots using a VLC beacon and fuzzy rules. This system consists of an autonomous mobile robot, VLC modules, and device application software. Fuzzy rules are applied to plan the global and local paths along which the mobile robot navigates indoors. The VLC transmitter modules are attached to the wall or the ceiling as beacons to transmit their own location information. The variable pulse position modulation (VPPM) algorithm is used to transmit data, which is a new modulation scheme for VLC providing a dimming control mechanism for flicker-free optical communication. The mobile robot has a receiver module to receive the location information while performing its mission in the environment where VLC transmitters are deployed.