• 제목/요약/키워드: d-vector

검색결과 1,794건 처리시간 0.031초

제어알고리즘 개선을 위한 3차원 반송 시스템 선형유도전동기의 동특성 해석 (Dynamic Characteristics Analysis of 3D Conveyor System Linear Induction Motor for Control Algorithm Developments)

  • 전수진;이중호
    • 전기학회논문지
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    • 제56권3호
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    • pp.514-518
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    • 2007
  • It is necessary to modify the state-of-the-art of speed control theory because of the phase asymmetry in the Linear Induction Motor (LIM)and for the constant speed control of mover using single vector control inverter system, it is important that primary stack is located in appropriated intervals in the 3D conveyer system using LIM. The dynamic characteristic analysis method of the vector controlled LIM using coupled FEM and control algorithm taking into account the movement is proposed. The focus of this paper is the analysis relative to selecting primary stack intervals in order to constant speed control in the 3D conveyer system using LIM.

복소 벡터와 dq 변환을 이용한 교류기 모델링에 관한 연구 (A Study on AC Machine Modeling using Complex Vector and dq Transformation)

  • 홍선기;박진호
    • 전기학회논문지
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    • 제61권11호
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    • pp.1601-1605
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    • 2012
  • Three-phase voltage and current is applied to the three-phase alternating current motors which are commonly used in industry. Three phase variables of a, b, c are converted into d, q, 0 axis and the AC machines are modeled and analyzed. Basically the coordinate transformation or d-q transformation is used for convenience, a few steps are needed to analyze the motor performances - separating d and q components, establishing each equivalent circuit, and solving the differential equations of the circuits. In this study, a modeling technique of induction motor using complex vector is proposed and it can explain the induction motor physically. This method does not need the separating process of d and q components. With this technique, the model becomes simple, is easy to understand in physical, and can get the same results with those from the other models. These simulation results of the proposed model are compared with them for the conformation of the proposed method.

Intelligent 3D Obstacles Recognition Technique Based on Support Vector Machines for Autonomous Underwater Vehicles

  • Mi, Zhen-Shu;Kim, Yong-Gi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권3호
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    • pp.213-218
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    • 2009
  • This paper describes a classical algorithm carrying out dynamic 3D obstacle recognition for autonomous underwater vehicles (AUVs), Support Vector Machines (SVMs). SVM is an efficient algorithm that was developed for recognizing 3D object in recent years. A recognition system is designed using Support Vector Machines for applying the capabilities on appearance-based 3D obstacle recognition. All of the test data are taken from OpenGL Simulation. The OpenGL which draws dynamic obstacles environment is used to carry out the experiment for the situation of three-dimension. In order to verify the performance of proposed SVMs, it compares with Back-Propagation algorithm through OpenGL simulation in view of the obstacle recognition accuracy and the time efficiency.

dSPACE를 이용한 유도전동기 벡터제어 시스템의 실시간 시뮬레이션

  • 박상은;이병하
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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    • pp.368-371
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    • 2003
  • In this paper, we present a way that can implement the vector control Algorithm of induction motor and PWM signal generation on the condition Matlab/Simulink. The overall system model is designed by Simulink toolbox for vector control in induction motor. and then implement experiment with the DS1103 board of dSPACE. Although we are not coding the system, it is capable of doing simulation and experiment simultaneously. That is why Matlab and dSPACE board compiler can generate the "*.c" and "*.obj" files on the designed system automatically. After considering about hardware structure and driving system in DS1103 board. we verify the availability of proposed method through making a comparison/analysis between simulation and experiment.

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모바일 WiMax용 카르테시안 벡터 모듈레이터 전치왜곡기의 선형성 개선에 관한 연구 (A Study on Linearity Improvement of Cartesian Vector Modulator Predistorter for WiMax Applications)

  • 전상현;김지연;김종헌
    • 한국ITS학회 논문지
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    • 제9권4호
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    • pp.32-42
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    • 2010
  • 본 논문에서는 카르테시안 벡터 모듈레이터 전치왜곡기의 선형성 개선을 극대화하기 위해서 전치왜곡기 설계시 고려해야할 파라미터들을 제시하였으며 비선형시작점 조정회로를 사용한 개선된 카르테시안 벡터 모듈레이터 진처왜곡기를 제안하였다. 전치왜곡기의 성능을 확인하기 위해서 2.5 GHz 대역 모바일 WiMax 1FA 신호를 입력으로 하는 15 W 전력 증폭기에 제안한 전치왜곡기를 적용하였다. 측정결과, -45.3 dBc의 ACLR을 얻었으며 기존의 다이오드를 사용한 전치왜곡기에 비해서 선형성 개선 구간이 넓어졌을 뿐만 아니라 기존의 전치왜곡기에 비해 약 4 dB 개선된 결과를 얻었다.

A Modified Approach to Density-Induced Support Vector Data Description

  • Park, Joo-Young;Kang, Dae-Sung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권1호
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    • pp.1-6
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    • 2007
  • The SVDD (support vector data description) is one of the most well-known one-class support vector learning methods, in which one tries the strategy of utilizing balls defined on the feature space in order to distinguish a set of normal data from all other possible abnormal objects. Recently, with the objective of generalizing the SVDD which treats all training data with equal importance, the so-called D-SVDD (density-induced support vector data description) was proposed incorporating the idea that the data in a higher density region are more significant than those in a lower density region. In this paper, we consider the problem of further improving the D-SVDD toward the use of a partial reference set for testing, and propose an LMI (linear matrix inequality)-based optimization approach to solve the improved version of the D-SVDD problems. Our approach utilizes a new class of density-induced distance measures based on the RSDE (reduced set density estimator) along with the LMI-based mathematical formulation in the form of the SDP (semi-definite programming) problems, which can be efficiently solved by interior point methods. The validity of the proposed approach is illustrated via numerical experiments using real data sets.

Flattening simulations of 3D thick sheets made of fiber composite materials

  • Morioka, Kotaro;Ohtake, Yutaka;Suzuki, Hiromasa;Nagai, Yukie;Hishida, Hiroyuki;Inagaki, Koichi;Nakamura, Takeshi;Watanabe, Fumiaki
    • Journal of Computational Design and Engineering
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    • 제2권2호
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    • pp.88-95
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    • 2015
  • Recently, fiber composite materials have been attracting attention from industry because of their remarkable material characteristics, including light weight and high stiffness. However, the costs of products composed of fiber materials remain high because of the lack of effective manufacturing and designing technologies. To improve the relevant design technology, this paper proposes a novel simulation method for deforming fiber materials. Specifically, given a 3D model with constant thickness and known fiber orientation, the proposed method simulates the deformation of a model made of thick fiber-material. The method separates a 3D sheet model into two surfaces and then flattens these surfaces into two dimensional planes by a parameterization method with involves cross vector fields. The cross vector fields are generated by propagating the given fiber orientations specified at several important points on the 3D model. Integration of the cross vector fields gives parameterization with low-stretch and low-distortion.

Model order reduction for Campbell diagram analysis of shaft-disc-blade system in 3D finite elements

  • Phuor, Ty;Yoon, GilHo
    • Structural Engineering and Mechanics
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    • 제81권4호
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    • pp.411-428
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    • 2022
  • This paper presents the Campbell diagram analysis of the rotordynamic system using the full order model (FOM) and the reduced order model (ROM) techniques to determine the critical speeds, identify the stability and reduce the computational time. Due to the spin-speed-dependent matrices (e.g., centrifugal stiffening matrix), several model order reduction (MOR) techniques may be considered, such as the modal superposition (MS) method and the Krylov subspace-based MOR techniques (e.g., Ritz vector (RV), quasi-static Ritz vector (QSRV), multifrequency quasi-static Ritz vector (MQSRV), multifrequency/ multi-spin-speed quasi-static Ritz vector (MMQSRV) and the combined Ritz vector & modal superposition (RV+MS) methods). The proposed MMQSRV method in this study is extended from the MQSRV method by incorporating the rotational-speed-dependent stiffness matrices into the Krylov subspace during the MOR process. Thus, the objective of this note is to respond to the question of whether to use the MS method or the Krylov subspace-based MOR technique in establishing the Campbell diagram of the shaft-disc-blade assembly systems in three-dimensional (3D) finite element analysis (FEA). The Campbell diagrams produced by the FOM and various MOR methods are presented and discussed thoroughly by computing the norm of relative errors (ER). It is found that the RV and the MS methods are dominant at low and high rotating speeds, respectively. More precisely, as the spinning velocity becomes large, the calculated ER produced by the RV method is significantly increased; in contrast, the ER produced by the MS method is smaller and more consistent. From a computational point of view, the MORs have substantially reduced the time computing considerably compared to the FOM. Additionally, the verification of the 3D FE rotordynamic model is also provided and found to be in close agreement with the existing solutions.