• Title/Summary/Keyword: Fuzzy Term

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Implementation of the Thermal Control System using RVEGA-Fuzzy Control Technique (RVEGA-퍼지 제어 기법을 이용한 온도 제어 시스템의 구현)

  • 김정수;정종원;박두환;지석준;이준탁
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2001.05a
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    • pp.238-242
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    • 2001
  • In this paper, we proposed an optimal identification method of the membership functions and the numbers of fuzzy rule base for the stabilization controller of the Thermal process control system by RVEGA. Although fuzzy logic controllers and expert systems have been successfully applied in many complex industrial process, they must rely on experts knowledges. So it is difficult in determination of the linguistic state space, definition of the membership functions of each linguistic term and the derivation of the control rules. To verify the validity of this RVEGA-based fuzzy controller, Thermal process control system, with strong nonlinear dynamics, was selected for application of this algorithm and compare with PI controller, and the empirically improved fuzzy controller.

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GENERALIZED BIPOLAR FUZZY INTERIOR IDEALS IN ORDERED SEMIGROUPS

  • Ibrar, Muhammad;Khan, Asghar;Abbas, Fatima
    • Honam Mathematical Journal
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    • v.41 no.2
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    • pp.285-300
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    • 2019
  • This research focuses on the characterization of an ordered semigroups (OS) in the frame work of generalized bipolar fuzzy interior ideals (BFII). Different classes namely regular, intra-regular, simple and semi-simple ordered semigroups were characterized in term of $({\alpha},{\beta})$-BFII (resp $({\alpha},{\beta})$-bipolar fuzzy ideals (BFI)). It has been proved that the notion of $({\in},{\in}{\gamma}q)$-BFII and $({\in},{\in}{\gamma}q)$-BFI overlap in semi-simple, regular and intra-regular ordered semigroups. The upper and lower part of $({\in},{\in}{\gamma}q)$-BFII are discussed.

A High-speed Fuzzy Controller with Integer Operations on GUI Environments (GUI 환경에서의 정수형 연산만을 사용한 고속 퍼지제어기)

  • Kim, Jong-Hyuk;Son, Ki-Sung;Lee, Byung-Kwon;Lee, Sang-Gu
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.4
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    • pp.373-378
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    • 2002
  • In fuzzy inferencing, most of conventional fuzzy controllers have problems of speed down in floating point operations of fuzzy membership functions in (0,1) as compared with integer operations. Therefore, in this paper, we propose a high-speed fuzzy controller with only integer operations. In this, for fast fuzzy computations, we use a scan line conversion algorithm to convert lines of each fuzzy linguistic term to the set of the closest integer pixels. We also implement a GUI (Graphic User Interface) application program for the convenient environments to modify and input fuzzy membership functions.

Integrated GUI Environment of Parallel Fuzzy Inference System for Pattern Classification of Remote Sensing Images

  • Lee, Seong-Hoon;Lee, Sang-Gu;Son, Ki-Sung;Kim, Jong-Hyuk;Lee, Byung-Kwon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.2
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    • pp.133-138
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    • 2002
  • In this paper, we propose an integrated GUI environment of parallel fuzzy inference system fur pattern classification of remote sensing data. In this, as 4 fuzzy variables in condition part and 104 fuzzy rules are used, a real time and parallel approach is required. For frost fuzzy computation, we use the scan line conversion algorithm to convert lines of each fuzzy linguistic term to the closest integer pixels. We design 4 fuzzy processor unit to be operated in parallel by using FPGA. As a GUI environment, PCI transmission, image data pre-processing, integer pixel mapping and fuzzy membership tuning are considered. This system can be used in a pattern classification system requiring a rapid inference time in a real-time.

Predicting Nonstationary Time Series with Fuzzy Learning Based on Consecutive Data (연속된 데이터의 퍼지학습에 의한 비정상 시계열 예측)

  • Kim, In-Taek
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.5
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    • pp.233-240
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    • 2001
  • This paper presents a time series prediction method using a fuzzy rule-based system. Extracting fuzzy rules by performing a simple one-pass operation on the training data is quite attractive because it is easy to understand, verify, and extend. The simplest method is probably to relate an estimate, x(n+k), with past data such as x(n), x(n-1), ..x(n-m), where k and m are prefixed positive integers. The relation is represented by fuzzy if-then rules, where the past data stand for premise part and the predicted value for consequence part. However, a serious problem of the method is that it cannot handle nonstationary data whose long-term mean is varying. To cope with this, a new training method is proposed, which utilizes the difference of consecutive data in a time series. In this paper, typical previous works relating time series prediction are briefly surveyed and a new method is proposed to overcome the difficulty of prediction nonstationary data. Finally, computer simulations are illustrated to show the improved results for various time series.

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Adaptive Fuzzy Control of a DC Servo Motor (DC 서보모터의 적응 퍼지제어)

  • Kim, Yil-H.;Kim, Young-T.
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.773-775
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    • 1999
  • In this paper, A new approach to stable adaptive fuzzy control of systems is proposed. The proposed scheme does not require an accurate mathematical model yet it guarantees an asymptotic stability. Fuzzy logic system, which has the property of universal approximator is used as an adaptive element of the proposed controller. Also this Paper proposes a fuzzy system that estimates the maximum limit of the uncertain term in the system dynamics to guarantee the Lyapunov stability. Proposed adaptive fuzzy control is applied to the DC servo motor system in order to show its good performance.

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Outdoor Reset Control based on Fuzzy Algorithm for Radiant Floor Heating System (퍼지 알고리즘을 기반으로한 바닥복사 난방시스템의 외기보상제어)

  • Choi, Jong-Yo;Baek, Jae-Ho;Kim, Eun-Tai;Lee, Hee-Jin;Park, Mig-Non
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1073-1074
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    • 2008
  • This paper presents outdoor reset control based on fuzzy algorithm for radiant floor heating system. We construct fuzzy system under indoor temperature and outdoor temperature. Simulation is based on TRNSYS with MATLAB. MATLAB is calculating and decide heat source using fuzzy system. Energy efficiency of Fuzzy algorithm is analyzed in term of indoor by TRNSYS System.

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Discrimination of Plant Transient by Using the Fuzzy Pattern Recognition (퍼지 패턴인식법을 이용한 발전소 과도상태 판별)

  • Kim Jong-Seog;Lee Dong-ju
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.14 no.1
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    • pp.37-43
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    • 2005
  • Plant pipe has a fatigue life which is induced by repeated stress come from the variation of temperature and pressure. To avoid the fatigue crack of plant pipe which is produced by long term repeated stress, plant operator has to limit the mont of operating transient. This paper introduced the study result about discrimination methodology of plant transient by using the fuzzy pattern recognition. As result of applying the fuzzy pattern recognition to actual plant operation data, it is confirmed that fuzzy pattern recognition methodology can be useful for the comparison of similarity for the transients of similar output but has different time pattern.

Fuzzy Relaxation Based on the Theory of Possibility and FAM

  • Uam, Tae-Uk;Park, Yang-Woo;Ha, Yeong-Ho
    • Journal of Electrical Engineering and information Science
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    • v.2 no.5
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    • pp.72-78
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    • 1997
  • This paper presents a fuzzy relaxation algorithm, which is based on the possibility and FAM instead of he probability and compatibility coefficients used in most of existing probabilistic relaxation algorithms, Because of eliminating stages for estimating of compatibility coefficients and normalization of the probability estimates, the proposed fuzzy relaxation algorithms increases the parallelism and has a simple iteration scheme. The construction of fuzzy relaxation scheme consists of the following three tasks: (1) definition of in/output linguistic variables, their term sets, and possibility. (2) Definition of FAM rule bases for relaxation using fuzzy compound relations. (3) Construction of the iteration scheme for calculating the new possibility estimate. Applications to region segmentation an ege detectiojn algorithms show that he proposed method can be used for not only reducing the image ambiguity and segmentation errors, but also enhancing the raw edge iteratively.

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MPPT Control of Photovoltaic by FNN (FNN에 의한 태양광 발전의 MPPT 제어)

  • Choi, Jung-Sik;Ko, Jae-Sub;Chung, Dong-Hwa
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.10
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    • pp.1968-1975
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    • 2009
  • The paper proposes a novel control algorithm for tracking maximum power of PV generation system.. The maximum power of PV array is determinated by a insolation and temperature. Prior considered the term in PV generation system is how maximum power point(MPP) is accurately tracked.. The paper proposes a fuzzy neural network(FNN) control algorithm so as to accurately track those maximum power points. The proposed control algorithm comprises the antecedence part of fuzzy rule and clustering method, multi-layer neural network in the consequent part. FNN has the advantages which are depicted both high performance and robustness in fuzzy control and high adaptive control in neural network.. Specially, it can show the outstanding control performance for parameter variations appling to non-linear character of PV array. In this paper, the tracking speed and the accuracy prove the validity through comparing a proposed algorithm with a conventional one.