• 제목/요약/키워드: rule base

검색결과 632건 처리시간 0.022초

비선형 시스템 모델링 및 제어를 위한 퍼지 규칙기반의 진화 설계 (Evolutionary Design of Fuzzy Rule Base for Modeling and Control)

  • 이창훈
    • 대한전기학회논문지:시스템및제어부문D
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    • 제50권12호
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    • pp.566-574
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    • 2001
  • In designing fuzzy models and controllers, we encounter a major difficulty in the identification f an optimized fuzzy rule base, which is traditionally achieved by a tedious trial-and-error process. This paper presents an approach to the evolutionary design of an optimal fuzzy rule base for modeling and control. Evolutionary programming is used to simultaneously evolve the structure and the parameter of fuzzy rule base for a given task. To check the effectiveness of the suggested approach, four numerical examples are examined. The performance of the identified fuzzy rule bases is demonstrated.

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퍼지논리를 이용한 다중관측자 구조 FDIS의 성능개선 (Performance Improvement of Multiple Observer based FDIS using Fuzzy Logic)

  • 류지수;이기상
    • 대한전기학회논문지:전력기술부문A
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    • 제48권4호
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    • pp.444-451
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    • 1999
  • A diagnostic rule-base design method for enhancing fault detection and isolation performance of multiple obsever based fault detection isolation schemes (FIDS) is presented. The diagnostic rule-base has a hierarchical framework to perform detection and isolation of faults of interest, and diagnosis of process faults. The decision unit comprises a rule base and a fuzzy inference engine and removes some difficulties of conventional decision unit which includes crisp logic with threshold values. Emphasis is placed on the design and evaluation methods of the diagnostic rult-base. The suggested scheme is applied to the FDIS design for a DC motor driven centrifugal pump system.

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속성지향추론법과 시뮬레이션을 이용한 지식기반형 Job Shop 스케쥴러의 개발 (Development of a Knowledge-Based Job Shop Scheduler Applying the Attribute-Oriented Induction Method and Simulation)

  • 한성식;신현표
    • 산업경영시스템학회지
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    • 제21권48호
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    • pp.213-222
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    • 1998
  • The objective of this study is to develop a knowledge-based scheduler applying simulation and knowledge base. This study utilizes a machine induction to build knowledge base which enables knowledge acquisition without domain expert. In this study, the best job dispatching rule for each order is selected according to the specifications of the order information. And these results are built to the fact base and knowledge base using the attribute-oriented induction method and simulation. When a new order enters in the developed system, the scheduler retrieves the knowledge base in order to find a matching record. If there is a matching record, the scheduling will be carried out by using the job dispatching rule saved in the knowledge base. Otherwise the best rule will be added to the knowledge base as a new record after scheduling to all the rules. When all these above steps finished the system will furnish a learning function.

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비선형 시스템을 위한 퍼지 PID 제어기의 설계 및 해석 (Design and Analysis of Fuzzy PID Control for Nonlinear System)

  • 김성호;이철희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 D
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    • pp.650-652
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    • 2000
  • Although Fuzzy Logic Controller(FLC) adopted three terms as input gives better performance. FLC is in general composed of two-term control because of the difficulty in the construction of fuzzy rule base. In this paper, a three-term FLC which is similar to PID control but acts as a nonlinear controller is proposed. To reduce the complexity of the rule base design and increase efficiency, a simplified fuzzy PID control is induced from a hybrid velocity/position type PID algorithm by sharing a common rule base for both fuzzy Pi and fuzzy PD parts. It is simple in structure, easy in implementation, and fast in calculation. The phase plane technique is applied to obtain the rule base for fuzzy two-term control and them. The resultant rule base is Macvicar-Whelan type. The frequency response information is used in tuning of membership functions. Also a tuning strategy for the scaling factors is Proposed based on the relationship between PID gain and them. Simulation results show better performance and the effectiveness of the proposed method.

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비선형 시스템 제어를 위한 퍼지 PID 제어기의 설계 및 해석 (Design and Analysis of Fuzzy PID Controller for Control of Nonlinear System)

  • 이철희;김성호
    • 산업기술연구
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    • 제20권B호
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    • pp.155-162
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    • 2000
  • Although Fuzzy Logic Controller(FLC) adopted three terms as input gives better performance, FLC is in general composed of two-term control because of the difficulty in the construction of fuzzy rule base. In this paper, a three-term FLC which is similar to PID control but acts as a nonlinear controller is proposed. To reduce the complexity of the rule base design and to increase efficiency. a simplified fuzzy PID control is induced from a hybrid velocity/position type PID algorithm by sharing a common rule base for both fuzzy PI and fuzzy PD parts. It is simple in structure, easy in implementation, and fast in calculation. The phase plane technique is applied to obtain the rule base for fuzzy two-term control and the resultant rule base is Macvicar-Whelan type. And the membership function is a Gaussian function. The frequency response information is used in tuning of the membership functions. Also a tuning strategy for the scaling factors is proposed based on the relationship between PID gain and the scaling factors. Simulation results show better performance and the effectiveness of the proposed method.

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지능공작기계 지식구조의 규칙베이스 구축 (Constructing Rule Base of knowledge structure for Intelligent Machine Tools)

  • 이승우;김동훈;임선종;송준엽;이화기
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.954-957
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    • 2005
  • In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial product and machine tools are the center of manufacturing devices in intelligent manufacturing system. The purpose of this paper is to present the construction of Rule Base for knowledge structure that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It constructs Rule Base of knowledge used of machine toots. The constructed Rule Base facilitates the effective operation and control of machine tools and will provide a systematic way to integrate the expert's knowledge that will apply Intelligent Machine Tools.

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상충 해결을 위한 결합지수 연구 (A Study of Combinative Index for Conflict Resolution)

  • 고희병;이수홍;이만호
    • 한국CDE학회논문집
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    • 제5권4호
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    • pp.319-326
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    • 2000
  • Expert systems using uncertain and ambiguous knowledge are not of the recent interests about uncertainty problem for performing inference similar to the decision making of a human expert. Human factors on rule-based systems often involve uncertain information. Expert systems had been used the methods of conflict resolution in a rule conflict situation, but this methods not properly solved the rule conflict. If a human expert appends a new rule to an original rule base, the rule base rightly causes a rule conflict. In this paper, the problem of rule conflict is regarded as one in which uncertainty of information is fundamentally involved. In the reduction of problem with uncertainty, we propose an enhanced rule ordering method, which improve the rule ordering method using Dempster-Shafer theory. We also propose a combinative index, which involve human factors of experts decision making.

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규칙추출 방법론을 이용한 STAFS 전문가시스템의 지식베이스 모듈 개발 (Development of the Knowledge-Base Module for the STAFS Expert System Using Rule Derivation Methodology)

  • 김화수
    • 지능정보연구
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    • 제7권2호
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    • pp.65-81
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    • 2001
  • 본 논문에서는 전문가 시스템 개발에 있어서 체계적인 규칙추출을 위하여 지식베이스 구축에 관한 분석/설계단계까지를 5개 단계로 세분화하여 지식획득과정을 강화하였다. 또한 각 단계별로 지식공학자가 수행해야 하는 프로세스와 각 프로세스별로 지식공학자가 실질적인 작업을 통해 결과를 산출하는 태스크를 정형화하였다. 본 논문에서는 제안한 체계적인 규칙추출 방법론을 이용하여 아군 화력자산의 파괴율을 고려하고, 지휘관의 의도에 부합하는 아군 화력자산을 배분하는 STAFS 전문가시스템의 지식베이스 모듈 개발에 관한 연구를 수행하였다.

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규칙베이스와 사례베이스 추론의 불확실한 지식의 표현 (A Representation of Uncertain Knowledge of Rule Base Reasoning and Case Base Reasoning)

  • 정구범;노은영;정환묵
    • 한국지능시스템학회논문지
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    • 제21권2호
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    • pp.165-170
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    • 2011
  • 규칙베이스 추론과 사례베이스 추론의 협조에 의해 보다 유연한 추론을 위한 효율적인 방법의 실현이 기대된다. 본 논문에서는 MVL 오토마타 모델을 적용하여 규칙베이스와 사례 베이스의 통합 추론모델과 이에 따른 불확실성 처리 방법을 제안한다.

Application of Fuzzy Algorithm with Learning Function to Nuclear Power Plant Steam Generator Level Control

  • Park, Gee-Yong-;Seong, Poong-Hyun;Lee, Jae-Young-
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1054-1057
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    • 1993
  • A direct method of fuzzy inference and a fuzzy algorithm with learning function are applied to the steam generator level control of nuclear power plant. The fuzzy controller by use of direct inference can control the steam generator in the entire range of power level. There is a little long response time of fuzzy direct inference controller at low power level. The rule base of fuzzy controller with learning function is divided into two parts. One part of the rule base is provided to level control of steam generator at low power level (0%∼30% of full power). Response time of steam generator level control at low power level with this rule base is shown generator level control at low power level with this rule base is shown to be shorter than that of fuzzy controller with direct inference.

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