• 제목/요약/키워드: logic process

검색결과 1,304건 처리시간 0.03초

퍼지 논리를 이용한 드릴의 마모 상태 진단 (Diagnosis of the Drill Wear Based on Fuzzy Logic)

  • 권오진;최성주;조현찬
    • 한국지능시스템학회논문지
    • /
    • 제11권9호
    • /
    • pp.833-836
    • /
    • 2001
  • 공장 자동화 및 무인 자동화를 실현하기 위해 가장 기본적이며 중요한 기술은 제조공정에 대한 감시 기술이다. 특히 절삭공정에서 생산성을 향상시키기 위해서는 절삭 과정 중 드릴이나 앤드밀 등과 같은 공구의 마모상태가 실시간으로 감시되어야 한다. 본 논문은 드릴 공정에서 퍼지 논리를 도입하여 마모진단 시스템을 구성하였다. 실시간 마모진단을 위해서 절삭력과 절삭력의 변화량을 퍼지 입력 변수로 하여 컴퓨터를 이용한 드릴의 마모상태를 판단하는 알고리즘을 제안하였다. 제안된 퍼지 마모진단 시스템을 평가하기 위하여 퍼지 마모량과 드릴의 실제 마모량을 측정하여 그 결과를 비교하였다.

  • PDF

PID auto-tuning controller design via fuzzy logic

  • He, Wei;Yu, Tian;Zhai, Yujia
    • 한국융합학회논문지
    • /
    • 제4권4호
    • /
    • pp.31-40
    • /
    • 2013
  • PID auto-tuning controller was designed via fuzzy logic. Typical values such as error and error derivative feedbackwere changed as heuristic expressions, and they determine PID gain through fuzzy logic and defuzzification process. Fuzzy procedure and PID controller design were considered separately, and they are combined and analyzed. Obtained auto-tuning PID controller by Fuzzy Logic showed the ability for less than 3rd order plant control.

범용 지능 모델을 위한 다치 오토마타 (MVL-Automata for General Purpose Intelligent Model)

  • 김두완;이경숙;최경옥;정환묵
    • 한국지능시스템학회논문지
    • /
    • 제11권4호
    • /
    • pp.311-314
    • /
    • 2001
  • 최근 지능 정보 처리에 대한 연구가 여러 분야에서 활발히 진행되고 있으며, 불확실하고 복잡한 동적 환경에서도 적응할 수 있도록 그 영역을 확장해 가고 있다. 본 논문에서는 다치 논리함수의 차분의 성질을 이용하여 동적 환경에 적응할 수 있는 다치 오토마타 모델을 제시하였다. 즉, 입력 스트링을 다치 함수의 치에 사상시키고, 다치 함수의 차분의 성질을 상태의 전이에 적용시켜 동적 변화에 자율적으로 적응할 수 있도록 하였다. 따라서, 다치 오토마타는 동적으로 변화하는 환경을 모델링하는데 광범위하게 응용될 수 있을 것이다.

  • PDF

Application of Fuzzy Logic to Smart Decision of Smart Sensor System

  • Pham, Van-Su;Linh Mai;Giwan Yoon;Kim, Dong-Hyun
    • Journal of information and communication convergence engineering
    • /
    • 제1권4호
    • /
    • pp.174-176
    • /
    • 2003
  • This paper considers the application of Fuzzy Logic to Smart Decision process of Smart Sensor system that interprets and response to the change of environmental parameters. The considered system consists of three sensors: temperature sensor, humidity sensor and pressure sensor. The smartness of system is constituted by the applying of Fuzzy Logic. The paper discusses the technical details of the application of Fuzzy Logic for making the system to be smarter.

Bootstrapped CMOS Differential Logic 기술을 채용한 Near-$V_{TH}$ Supply에서 동작하는 64-Bit Adder 설계 (Near-$V_{TH}$ Supply 64-Bit Adder using Bootstrapped CMOS Differential Logic)

  • 오재혁;정병화;공배선
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2008년도 하계종합학술대회
    • /
    • pp.581-582
    • /
    • 2008
  • This paper describes novel bootstrapped CMOS differential logic family operating at near-Vth supply voltage. The proposed logic family provides improved switching speed by utilizing voltage bootstrapping for the supply voltage approaching device thresholds. The circuit is configured as differential structure having single bootstrapping capacitor, minimizing area overhead and providing complete logic composition capability. A 64-bit adder designed using the proposed technique in a 0.18um CMOS process provides up to 79% improvement in terms of power-delay product as compared to the conventional adder designed with DCVS.

  • PDF

Design of an Adaptive Fuzzy Logic Controller using Sliding Mode Scheme

  • Kwak, Seong-Woo
    • 한국지능시스템학회논문지
    • /
    • 제9권6호
    • /
    • pp.577-582
    • /
    • 1999
  • Using a sole input variable simplifies the design process for the fuzzy logic controller(FLC). This is called single-input fuzzy logic controller(SFLC). However it is still deficient in the capability of adapting to the varying operating conditions. We here design a single-input adaptive fuzzy logic controller(AFLC) using a switching function of the sliding mode control. The AFLC can directly incorporate linguistic fuzzy control rules into the controller. Hence some parameters of the membership functions characterizing the linguistic terms of the fuzzy rules can be adjusted by an adaptive law. In the proposed AFLC center values of fuzzy sets are directly adjusted by a fuzzy logic system. We prove that 1) its closed-loop system is globally stable in the sense that all signals involved are bounded and 2)its tracking error converges to zero asymptotically. We perform computer simulation using a nonlinear plant.

  • PDF

2 자유도 상추 수확 로봇 시스템 개발 (Development of a 2-DOF Robot System for Harvesting a Lettuce)

  • 조성인;장성주;류관희;남기찬
    • Journal of Biosystems Engineering
    • /
    • 제25권1호
    • /
    • pp.63-70
    • /
    • 2000
  • In Korea, researches for year-round leaf vegetables production system are in progress and the most of them are focused on environment control. Automation technologies for harvesting , transporting and grading need to be developed. This study was conducted to develop harvesting process automation system profitable to a competitive price. 1. Manipulator and end-effector are to be designed and fabricated , and fuzzy logic controller for controlling these are to be composed. 2. The entire system constructed is to be evaluated through a performance test. A robot system for harvesting a lettuce was developed. It was composed of a manipulator with 20DOF (degrees of freedom) an end-effector, a lettuce feeding conveyor , an air blower , a machine vision device, 6 photoelectric sensors and a fuzzy logic controller. A fuzzy logic control was applied to determined appropriate grip force on lettuce. Leaf area index and height index were used as input parameters, and voltage was used as output parameter for the fuzzy logic controller . Success rate of the lettuce harvesting system was 93.06% , and average harvesting time was about 5 seconds per lettuce.

  • PDF

A Construction of Fuzzy Inference Network based on Neural Logic Network and its Search Strategy

  • Lee, Mal-rey
    • 한국산업정보학회:학술대회논문집
    • /
    • 한국산업정보학회 2000년도 추계공동학술대회논문집
    • /
    • pp.375-389
    • /
    • 2000
  • Fuzzy logic ignores some information in the reasoning process. Neural networks are powerful tools for the pattern processing, but, not appropriate for the logical reasoning. To model human knowledge, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural logic network is able to do the logical reasoning. Because the fuzzy inference is a fuzzy logical reasoning, we construct fuzzy inference network based on the neural logic network, extending the existing rule- inference. network. And the traditional propagation rule is modified. For the search strategies to find out the belief value of a conclusion in the fuzzy inference network, we conduct a simulation to evaluate the search costs for searching sequentially and searching by means of search priorities.

  • PDF

대규모 조합문제를 해결하기 위한 효율적인 논리함수 처리 시스템의 개발과 순서회로 설계에의 응용 (Development of an efficient logic function manipulation system for solving large-scale combiation problems and its application to logic design of sequential circuits)

  • 권용진
    • 한국통신학회논문지
    • /
    • 제22권8호
    • /
    • pp.1613-1621
    • /
    • 1997
  • Many studies on internal data expression to process logic functions efficiently on computer have been doing actively. In this paper, we propose an efficient logic function manipulation system made on the Objected-Oriented manner, where Binary Decision Diagrams(BDD's) are adopted for internal data espressionof logic functions. Thus it is easy to make BDD's presenting combinational problems. Also, we propose a method of applying filtering function for reducing the size of BDD's instead of attributed bits, and add it to the mainpultion system. As a resutls, the space of address is expanded so that the number of node that can be used in the mainpulation system is increased up to 2/sup 27/. Finally, we apply the implemented system to One-Shot state assignment problems of asynchronous sequential circuits and show that it is efficient for the filtering method to reduce the size of BDD's.

  • PDF

인허가관련 설계품질검토 자동화를 위한 건축법규 문장 관계논리에 관한 연구 (Relational Logic Definition of Articles and Sentences in Korean Building Code for the Automated Building Permit System)

  • 김현정;이진국
    • 한국CDE학회논문집
    • /
    • 제21권4호
    • /
    • pp.433-442
    • /
    • 2016
  • This paper aims to define the relational logic of in-between code articles as well as within atomic sentences in Korean Building Code, as an intermediate research and development process for the automated building permit system of Korea. The approach depicted in this paper enables the software developers to figure out the logical relations in order to compose KBimCode and its databases. KBimCode is a computer-readable form of Korean Building Code sentences based on a logic rule-based mechanism. Two types of relational logic definition are described in this paper. First type is a logic definition of relation between code sentences. Due to the complexity of Korean Building code structure that consists of decree, regulation or ordinance, an intensive analysis of sentence relations has been performed. Code sentences have a relation based on delegation or reference each other. Another type is a relational logic definition in a code sentence based on translated atomic sentence(TAS) which is an explicit form of atomic sentence(AS). The analysis has been performed because the natural language has intrinsic ambiguity which hinders interpreting embedded meaning of Building Code. Thus, both analyses have been conducted for capturing accurate meaning of building permit-related requirements as a part of the logic rule-based mechanism.