• Title/Summary/Keyword: T-fuzzy integral

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T-S Fuzzy Control of IPMSM using Weighted Integral Action (가중적분을 이용한 IPMSM의 T-S 퍼지 제어)

  • Hwang, Tae Hwan;Kim, Tae Kue;Park, Seung Kyu;Ahn, Ho Gyun;Yoon, Tae Sung;Kwak, Gun Pyong
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.2
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    • pp.105-112
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    • 2014
  • This paper proposes a novel $H{\infty}$ T-S Fuzzy controller with a weighted integral action for Interior Permanent Magnet Synchronous Motor(IPMSM) which have nonlinear dynamics. The $H{\infty}$ T-S Fuzzy controller is used for the robustness of nonlinear systems and the weighted integral action is used for the tracking problem and the improvement of control performance. A T-S Fuzzy controller is designed by combining the local controllers with the overall stability, and LMI(Linear Matrix Inequality)is used to determine the gains of linear controllers. The tracking problem of IPMSM is changed into regulator problem by introducing the integral action and the weighting factor gives flexibility to a $H{\infty}$ fuzzy controller.

Weighted Integral H Control of Induction Motor using T-S fuzzy (T-S 퍼지를 사용한 유도전동기의 가중적분 H 제어)

  • Kim, Min-Chan;Park, Seung-Kyu;Yoon, Tae-Sung;Kwak, Gun-Pyong;Ahn, Ho-Gyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.6
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    • pp.1399-1408
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    • 2013
  • This paper proposes a new $H_{\infty}$ T-S fuzzy controller with a novel integral control for induction motors which have nonlinear dynamics. The $H_{\infty}$ T-S fuzzy controller is used for the nonlinearity and robustness and weighted integral is used for tracking problem and control performance. A T-S Fuzzy controller is the fuzzy combination of local linear controllers considering the overall stability, and LMI(Linear Matrix Inequlity) is used for determining the gains of linear controllers. The tracking problem of an induction motor is changed into regulator problem by introducing the integral control technique with weighting factor, diminishing the conservatism of $H_{\infty}$ T-S fuzzy controller.

T-FUZZY INTEGRALS OF SET-VALUED MAPPINGS

  • CHO, SUNG JIN
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.4 no.1
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    • pp.39-48
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    • 2000
  • In this paper we define T-fuzzy integrals of set-valued mappings, which are extensions of fuzzy integrals of the single-valued functions defined by Sugeno. And we discuss their properties.

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A Fault Detection System Design for Uncertain Fuzzy Systems

  • Yoo, Seog-Hwan
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.107-112
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    • 2005
  • This paper deals with a fault detection system design for uncertain nonlinear systems modelled as T-S fuzzy systems with the integral quadratic constraints. In order to generate a residual signal, we used a left coprime factorization of the T-S fuzzy system. From the filtered signal of the residual generator, the fault occurence can be detected effectively. A simulation study with nuclear steam generator level control system shows that the suggested method can be applied to detect the fault in actual applications.

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Implementation of Evaluation System of Water Quality for Branches of Geum River Using Fuzzy Integral (퍼지 적분을 이용한 금강지천의 수질오염 평가 시스템 구현)

  • Han, Seok-Soon;Kim, Hong-Ki;Lee, Kyung-Ho;Woo, Sun-Hee;Kim, Jai-Joung;Chung, Keun-Yook
    • The Journal of the Korea Contents Association
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    • v.6 no.10
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    • pp.1-8
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    • 2006
  • The new system evaluating the pollution of the water quality for the branches of geum river using the fuzzy integral was proposed in this study. In this paper, the five individual factors, such as BOD(biochemical oxygen demand), COD(chemical oxygen demand), SS(suspended solids), T-N(total nitrogen), and T-P(total phosphorus) are selected. The measurement of fuzzy integral was determined depending on the degree of how they affect the pollution of water quality. The real values for the five factors measured and obtained from the branches of the geum river was normalized to ranging from 0 to 1. Finally, using the fuzzy integral, the degree of the pollution for the branches of geum river was expressed as the real numerical number. As a result, it appears that this approach can be proposed as the new system evaluating the pollution of the water quality for the branches of the geum river.

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Non-Linearity of the Seminormed Fuzzy Integral (준노름 퍼지적분의 비 선형성)

  • Kim, Mi-Hye
    • The Journal of the Korea Contents Association
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    • v.2 no.2
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    • pp.91-97
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    • 2002
  • Let (X, F, g) be a fuzzy measure space. Then for any h$\in$ $L^{0}$ (X) , a$\in$[0 , 1] , and $A\in$F ∫$_{A}$aㆍh($\chi$)┬g=aㆍ∫$_{A}$h($\chi$)┬g with the t-seminorm ┬(x, y)= xy. And we prove that the Seminormed fuzzy integral has some linearity properties only for {0,1}-classes of fuzzy measure as follow, For any f, h$\in$ $L^{0}$ ($\chi$), any a, b$\in$R+: af+bh$\in$ $L^{0}$ ($\chi$)⇒ ∫$_{A}$(af+bh)┬g=a∫$_{A}$f┬g+b∫$_{A}$h┬g; if and only if g is a probability measure fulfilling g(A) $\in${0, 1} for all $A\in$F.n$F.

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Some characterizations of a mapping defined by interval-valued Choquet integrals

  • Jang, Lee-Chae;Kim, Hyun-Mee
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.1
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    • pp.66-70
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    • 2007
  • Note that Choquet integral is a generalized concept of Lebesgue integral, because two definitions of Choquet integral and Lebesgue integral are equal if a fuzzy measure is a classical measure. In this paper, we consider interval-valued Choquet integrals with respect to fuzzy measures(see [4,5,6,7]). Using these Choquet integrals, we define a mappings on the classes of Choquet integrable functions and give an example of a mapping defined by interval-valued Choquet integrals. And we will investigate some relations between m-convex mappings ${\phi}$ on the class of Choquet integrable functions and m-convex mappings $T_{\phi}$, defined by the class of closed set-valued Choquet integrals with respect to fuzzy measures.

Evaluation of Risk Level for Damage of Marine Accidents using Fuzzy AHP (퍼지AHP법을 이용한 해양사고 피해규모에 의한 위험수준 평가)

  • Jang Woon-Jae;Keum Jong-Soo
    • Proceedings of KOSOMES biannual meeting
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    • 2004.11a
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    • pp.83-88
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    • 2004
  • This paper suggests on evaluation of risk level for damage of marine accidents in SRRs. This paper intoduces a concept of fuzzy logic with the plenty of related literature riview, fuzzy measure t-seminormed fuzzy integral and in the Korean. SRRs of RCC and RSC. The methodology of this paper is max$\cdot$min composition of fuzzy extensive principle, defuzzifiation is centroid of gravity methods. And final evaluation value using t-seminormed fuzzy integral. At the result, the evaluation of risk level is especially over Serious for marine accident of Mokpo, Tongyoung, Busan SRRs. This paper recommends tint many Rescue Vessels and Equipments need to the reduction of risk level about those.

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