• Title/Summary/Keyword: Input and Output Parameters

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Bearing Fault Diagnosis Using Fuzzy Inference Optimized by Neural Network and Genetic Algorithm

  • Lee, Hong-Hee;Nguyen, Ngoc-Tu;Kwon, Jeong-Min
    • Journal of Electrical Engineering and Technology
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    • v.2 no.3
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    • pp.353-357
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    • 2007
  • The bearing diagnostics method is presented in this paper using fuzzy inference based on vibration data. Both time-domain and frequency-domain features are used as input data for bearing fault detection. The Adaptive Network based Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA) have been proposed to select the fuzzy model input and output parameters. Training results give the optimized fuzzy inference system for bearing diagnosis based on measured vibration data. The result is also tested with other sets of bearing data to illustrate the reliability of the chosen model.

The Development of Analysis Program of Solar Heating System for District Heating System (지역난방 태양열시스템 해석 프로그램 개발)

  • Back, Nam-Choon;Shin, U-Cheul
    • 한국태양에너지학회:학술대회논문집
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    • 2008.04a
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    • pp.190-195
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    • 2008
  • This study aims to develop the thermal performance and economic analysis program of solar heating system applied to district heating systems. The program, named SOLAN-DHS, is consisted of four modules like as user's interface for system input/output, library, and utilities and a calculating engine. SOLAN-DHS simplifies user's input data through the database and can design 5 different types of solar systems. Due to the user-friendly layout, all design parameters can be changed quickly and easily for the influence on system efficiency. The reliability of SOLAN-DHS was finally verified by the experiments.

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A Study on the Learning GUI for the Load Flow of Power System (전력조류계산을 위한 학습용GUI에 관한 연구)

  • Lee, Hee-Yeong
    • Proceedings of the KIEE Conference
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    • 2004.07e
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    • pp.27-29
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    • 2004
  • This paper presents improved teaching and learning Gill for easily analysis tool of load flow of power system. This GUI includes not only contingency analysis function, but also calculating power loss from transmission line flow. The Gill is friendly for study for power system operation and control because picture provide a better visualizing of relationships between input parameters and effect than a tabula type result. This Gill enables topology and the output data of load flow for line outages to be shown on same picture page. Users can input the system data for power flow on the the picture and can easily see the the result diagram of bus voltage, bus power, line flow. It is also observe the effects of different types of variation of tap, shunt capacitor, loads level, line outages. Proposed Gill has been studied on the Ward-Hale 6-Bus system.

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Development of Thermal Performance Analysis Program of Solar Heating System for District Heating System (지역난방 태양열시스템의 열성능 해석 프로그램 개발)

  • Baek, Nam-Choon;Shin, U-Cheul
    • Journal of the Korean Solar Energy Society
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    • v.28 no.6
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    • pp.64-69
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    • 2008
  • In this study the thermal performance and economic analysis program of solar heating system for district heating was developed. This program, named SOLAN-DHS and based on TRNSYS, consisted of four modules like as user's interface for system input/output, library, and utilities and a calculating engine. SOLAN-DHS simplifies user's input data through the database of most system engineering data including weather data of 17 areas in Korea. Five different types of solar systems which can be applicable to district heating system were presented in this program. Due to the user-friendly layout, all design parameters can be changed quickly and easily for the influence on system efficiency. The reliability of SOLAN-DHS was finally verified by the experiments.

STUDY ON AUTOMATIC 3D WING SHAPE MODELING AND GRID GENERATION (3차원 날개 모델링 및 격자 생성 자동화에 대한 연구)

  • Ryu, G.Y.;Kim, B.S.
    • 한국전산유체공학회:학술대회논문집
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    • 2009.04a
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    • pp.125-129
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    • 2009
  • In this paper automatic 3D wing shape modeling program is introduced. The program is developed in Visual Basic based on Net Framework 3.5 environment by using CATIA COM Library, and it is used together with CATIA system to model 3D wings with or without flaps. With this program users can easily construct wing models by specifying geometry parameters which are usually design variables with the aid of easy-to-use GUI environment, and specifying sectional airfoil data is done either by using analytic shape functions such as NACA series airfoils or by providing input files with point data describing the airfoil shape. When all the input parameters are provided, users can either work further with the model in the CATIA system which would be automatically started by the program or save the resultant model in the format of users choice. Unstructured grid generation program is also briefly described which can make grid generation task for a 3D wing easy and efficient one when used together with the wing modeling program by choosing STL format as the model's output format.

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Development and Control of a Small BLDC Motor for Entertainment Robots

  • Lee, Jong-Bae;Park, Chang-Woo;Rhyu, Sae-Hyun;Choi, Jun-Hyuk;Chung, Joong-Ki;Sung, Ha-Gyeong
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1500-1505
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    • 2004
  • This paper presents the design and control of a small Brushless DC (BLDC) Motor for entertainment robots. In order to control the developed BLDC motor, Adaptive Fuzzy Control (AFC) scheme via Parallel distributed Compensation(PDC) is developed for the multi- input/multi-output plant model represented by the Takagi-Sugeno(TS) model. The alternative AFC scheme is proposed to provide asymptotic tracking of a reference signal for the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal. The suggested design technique is applied to the velocity control of a developed small BLDC motor for entertainment robots.

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A study on the design of a hovering flight controller for a model helicopter using time delay control (시간지연제어 기법을 이용한 모형헬리콥터의 정지비행제어기 설계)

  • 안현식;박철규;이교일
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.763-766
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    • 1996
  • A model helicopter is an unstable, multi-input multi-output nonlinear system exposed to strong disturbances and its system parameters change continually. In this paper, Time Delay Control(TDC) is adopted for these reasons. TDC uses past observation of the system's response and the control input to directly modify the control action rather than adjusting the controller gains leading to a model independent robust controller. TDC can force the plant to follow an appropriate reference model, but the reference model cannot be chosen arbitrarily. In this paper the procedure of choosing a reference model and the performance of the controller are presented.

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Control of the Nonlinear System Using Neuro Fuzzy Network (뉴로 퍼지망을 이용한 비선형 시스템 제어)

  • Kim, Dong-Hoon;Lee, Young-Seog;Seo, Bo-Hyeok
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.1073-1075
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    • 1996
  • This paper presents a neuro fuzzy system(NFS) for implementing fuzzy inference system with a monotonic membership function. The modeling and control of a discrete nonlinear system using a NFS is described. The membership function parameters of a identifier and controller are adjusted by back-propagation algorithm. These identifier and controller is constructed to proposed NFS. A on-line identification and control are accomplished by this NFS. A controller is gived information of the system, that is variation of the system output according to that of the control input by a identifier. A controller makes control input in order to control discrete-time nonlinear system. A Simulation is presented to demonstrate the efficiency of a suggested method.

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BLDC Motor Control using Neural Network PI Self tuning (신경회로망 PI자기동조를 이용한 BLDC 모터제어)

  • Bae, E.K.;Kwon, J.D.;Jeon, K.Y.;Hahm, N.G.;Lee, S.H.;Lee, H.G.;Chung, C.B.;Han, K.H.
    • Proceedings of the KIEE Conference
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    • 2005.10a
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    • pp.136-138
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    • 2005
  • The conventional self-tuning methods have the speed control problem of nonlinear BLDC motor which can't adapt against any kinds of noise or operation circumstances. In this paper, supposed to solve these problem to PI parameters controller algorithm using ANN. In the proposed algorithm, the parameters of the controller were adjusted to reduce by on-line system the error of the speed of BLDC motor. In this process, EBPA NN was constituted to an output error value of a BLDC motor and conspired an input and output. The performance of the self-tuning controller is compared with that of the PI controller tuned by conventional method(Z&N). The effectiveness of the proposed control method IS verified thought the Matlab Simulink.

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Isolated PFC Converter Based on an ADAB Structure with Harmonic Modulation for EV Chargers

  • Choi, Seung-Won;Kim, Yoon-Jae;Lee, Il-Oun;Lee, Jun-Young
    • Journal of Power Electronics
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    • v.18 no.2
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    • pp.383-394
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    • 2018
  • This paper presents an isolated power factor correction converter for general-purpose electric vehicle chargers with a wide output voltage range. The converter is based on an asymmetrical dual active bridge structure so that the voltage stress of switching devices can be eliminated by transferring the transformer leakage inductance to the circuit parameters. Harmonic and output controls are performed by secondary switches, and primary switches are only operated at a fixed frequency with a 50% duty ratio. A harmonic modulation technique is also adopted to obtain a near-unity power factor without input current monitoring. The feasibility of the proposed charger is verified with a 3.3 kW prototype.