• 제목/요약/키워드: Logic Model

검색결과 1,403건 처리시간 0.038초

구조물 모니터링 및 진단을 위한 지식모델의 개발 (A Hybrid Knowledge Model for Structural Monitoring and Diagnosis)

  • 김성곤
    • 전산구조공학
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    • 제9권2호
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    • pp.163-171
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    • 1996
  • 구조물 모니터링 시스템의 전산환경을 구성하기 위해 필요한 지식 및 정보를 파악하고 이를 지식기반화하는 방법을 제시하였다. 전산환경의 구축을 위한 정보로는 센서 및 하드웨어, 신호처리, 그리고 손상발견/평가를 위한 지식등이 필요한데, 이들은 모두 다른 형태의 지식이므로, -즉 수학연산, 서술적 지식, 수치모델등- 어느 특정의 모델링 기법 단독으로는 이들을 효과적으로 수용하기가 매우 어렵다. 이를 해결하기 위하여 객체지향적 모델링기법과 논리언어를 혼합사용하는 방법 (Hybrid Modeling Paradigm)이 제시되었고, 이의 타당성 및 효율성 검증을 위해 모델구조물을 이용한 예제를 수행하였다.

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정보융합 기법을 이용한 칼라 패턴의 감성 평가 (The emotional evaluation of color pattern based on information fusion)

  • 김성환;엄경배;이준환
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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    • pp.23-27
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    • 2000
  • In this paper, we propose an emotional evaluation model based on information fusion. This model can transform the physical features of a color pattern to the emotional features. Our proposed model consists of the fuzzy logic system and neural network model. The evaluation values produced by them were fused. The model shows comparable performances to the neural network and fuzzy logic system for the approximation of the nonlinear transforms. We believe the evaluated results of a color pattern can be used to the emotion-based color image retrievals.

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Application of Fuzzy Logic for Predicting of Mine Fire in Underground Coal Mine

  • Danish, Esmatullah;Onder, Mustafa
    • Safety and Health at Work
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    • 제11권3호
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    • pp.322-334
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    • 2020
  • Background: Spontaneous combustion of coal is one of the factors which causes direct or indirect gas and dust explosion, mine fire, the release of toxic gases, loss of reserve, and loss of miners' life. To avoid these incidents, the prediction of spontaneous combustion is essential. The safety of miner's in the mining field can be assured if the prediction of a coal fire is carried out at an early stage. Method: Adularya Underground Coal Mine which is fully mechanized with longwall mining method was selected as a case study area. The data collected for 2017, by sensors from ten gas monitoring stations were used for the simulation and prediction of a coal fire. In this study, the fuzzy logic model is used because of the uncertainties, nonlinearity, and imprecise variables in the data. For coal fire prediction, CO, O2, N2, and temperature were used as input variables whereas fire intensity was considered as the output variable.The simulation of the model is carried out using the Mamdani inference system and run by the Fuzzy Logic Toolbox in MATLAB. Results: The results showed that the fuzzy logic system is more reliable in predicting fire intensity with respect to uncertainties and nonlinearities of the data. It also indicates that the 1409 and 610/2B gas station points have a greater chance of causing spontaneous combustion and therefore require a precautional measure. Conclusion: The fuzzy logic model shows higher probability in predicting fire intensity with the simultaneous application of many variables compared with Graham's index.

Fuzzy Logic PID controller based on FPGA

  • Tipsuwanporn, V.;Runghimmawan, T.;Krongratana, V.;Suesut, T.;Jitnaknan, P.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1066-1070
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    • 2003
  • Recently technologies have created new principle and theory but the PID control system remains its popularity as the PID controller contains simple structure, including maintenance and parameter adjustment being so simple. Thus, this paper proposes auto tune PID by fuzzy logic controller based on FPGA which to achieve real time and small size circuit board. The digital PID controller design to consist of analog to digital converter which use chip TDA8763AM/3 (10 bit high-speed low power ADC), digital to analog converter which use two chip DAC08 (8 bit digital to analog converters) and fuzzy logic tune digital PID processor embedded on chip FPGA XC2S50-5tq-144. The digital PID processor was designed by fundamental PID equation which architectures including multiplier, adder, subtracter and some other logic gate. The fuzzy logic tune digital PID was designed by look up table (LUT) method which data storage into ROM refer from trial and error process. The digital PID processor verified behavior by the application program ModelSimXE. The result of simulation when input is units step and vary controller gain ($K_p$, $K_i$ and $K_d$) are similarity with theory of PID and maximum execution time is 150 ns/action at frequency are 30 MHz. The fuzzy logic tune digital PID controller based on FPGA was verified by control model of level control system which can control level into model are correctly and rapidly. Finally, this design use small size circuit board and very faster than computer and microcontroller.

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저 전력 MOS 전류모드 논리 병렬 곱셈기 설계 (Design of a Low-Power MOS Current-Mode Logic Parallel Multiplier)

  • 김정범
    • 전기전자학회논문지
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    • 제12권4호
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    • pp.211-216
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    • 2008
  • 이 논문은 MOS 전류모드 논리 (MOS current-mode logic circuit, MCML) 회로를 이용하여 저 전력 특성을 갖는 8${\times}$8 비트 병렬 곱셈기를 설계하였다. 설계한 곱셈기는 회로가 동작 하지 않을 때의 정적 전류의 소모를 최소화하기 위하여 슬립 트랜지스터 (sleep-transistor)를 이용하여 저 전력 MOS 전류모드 논리회로를 구현하였다. 설계한 곱셈기는 기존 MOS 전류모드 논리회로에 비해 대기전력소모가 1/50으로 감소하였다. 또한, 이 회로는 기존 MOS 전류모드 논리회로에 비해 전력소모에서 10.5% 감소하였으며, 전력소모와 지연시간의 곱에서 11.6%의 성능 향상이 있었다. 이 회로는 삼성 0.35${\mu}m$ 표준 CMOS 공정을 이용하여 설계하였으며, HSPICE를 통하여 검증하였다.

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Comparing type-1, interval and general type-2 fuzzy approach for dealing with uncertainties in active control

  • Farzaneh Shahabian Moghaddam;Hashem Shariatmadar
    • Smart Structures and Systems
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    • 제31권2호
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    • pp.199-212
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    • 2023
  • Nowadays fuzzy logic in control applications is a well-recognized alternative, and this is thanks to its inherent advantages. Generalized type-2 fuzzy sets allow for a third dimension to capture higher order uncertainty and therefore offer a very powerful model for uncertainty handling in real world applications. With the recent advances that allowed the performance of general type-2 fuzzy logic controllers to increase, it is now expected to see the widespread of type-2 fuzzy logic controllers to many challenging applications in particular in problems of structural control, that is the case study in this paper. It should be highlighted that this is the first application of general type-2 fuzzy approach in civil structures. In the following, general type-2 fuzzy logic controller (GT2FLC) will be used for active control of a 9-story nonlinear benchmark building. The design of type-1 and interval type-2 fuzzy logic controllers is also considered for the purpose of comparison with the GT2FLC. The performance of the controller is validated through the computer simulation on MATLAB. It is demonstrated that extra design degrees of freedom achieved by GT2FLC, allow a greater potential to better model and handle the uncertainties involved in the nature of earthquakes and control systems. GT2FLC outperforms successfully a control system that uses T1 and IT2 FLCs.

역동력학과 퍼지기법을 이용한 DC 모터의 속도제어 (DC Motor Speed Control Using Inverse Dynamics and the Fuzzy Technique)

  • 김병만;유성호;박승수;김종화;진강규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.138-138
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    • 2000
  • In this paper, a methodology for designing a controller based on inverse dynamics for speed control of DC motors is presented. The proposed controller consists of a prefilter, the inverse dynamic model of a system and a fuzzy logic controller. The prefilter prevents high frequency effects from the inverse dynamic model. The model of the system is characterized by a nonlinear equation with coulomb friction. The fuzzy logic controller regulates the error between the set-point and the system output which may be caused by disturbances and it simultaneously traces the change o( the reference input. The parameters of the model are estimated by a genetic a]gorithm. An experimental work on a DC motor system is carried out to illustrate the performance of the proposed controller

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Pl제어 VAV시스템에 대한 공조공간의 열 응답특성 실험 (Experiments on Thermal Response of Space Conditioned by a Pl-Controlled VAV System)

  • 문정우;박강순;김서영
    • 설비공학논문집
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    • 제14권2호
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    • pp.91-97
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    • 2002
  • The present study concerns an experiment on the supply-air control in variable air volume (VAV) system with a Pl control logic. A thermal chamber with a Pl control logic is constructed to verify the previously suggested multi-zone model. The stratified thermal model is adopted in the control logic for a thermal chamber cooling test. The effects of taler- mal parameters and control parameters such as supply air temperature and Pl control factor are investigated by implementing the thermal chamber cooling test. The experimental results obtained show that the transient behavior of the air-conditioned space temperature are in good agreement with the simulation results of the stratified thermal model.

퍼지 로직 제어기를 이용한 냉장고 온도 제어 방법 (Temeperature control method of refrigerator using fuzzy logic controller)

  • 최병준;한상완;홍석교
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.28-31
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    • 1997
  • This paper describes the quick and precise controlling method for home-applied refrigerator. The proposed controller is based on the fuzzy logic control method and is designed for better performance in maintaining the constant temperature of the refrigerator. The temperature of the refrigerator is controlled by the cooling air blowing fan motor which is put on, off according to fuzzy logic controller. Finally, I study the performance of the proposed controller through the computer simulation about the approximated model of the refrigerator.

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보일러 터빈 플랜트의 퍼지 논리 제어에 관한 연구 (A study on the fuzzy logic control for boiler-turbine system)

  • 김호동;김용호;안상철;권욱현
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.687-692
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    • 1991
  • To reduce the complexity in constructing a fuzzy logic controller of multivariable systems, three major methods are presented. One is the method of constructing single-input-single-output fuzzy logic controllers after decoupling the target system. Another is the method of using fuzzy relation matrices which indicate the relation between each input and output. The other is the method of using the hierarchically classified inputs which dominantly influence one output than other inputs. Using the last two methods, simulation results of fuzzy logic controller implemented on 160MW boiler-turbine plant model are also shown.

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