• 제목/요약/키워드: Optimizing Design

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Box-Behnken법을 이용한 매입형 영구자석 동기전동기의 회전자 구조 최적설계 (Optimal Design of the Rotor Structure by using Box-Behnken Method for IPMSM)

  • 한정호;김원호;장익상;김미정;이기덕;이재준;이주
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.949-950
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    • 2011
  • There are various ways of optimizing rotor design of Interior Permanent Magnet Synchronous Motors(IPMSM). In this paper, the best optimized design value was found by varying the Bridge thickness of PM in the rotor and changing Rib. The set design values were torque, 5 harmonics, 7 harmonics, and safety factor. Also, in order to make practical design value easily and quickly for optimization, Box-Behnken of Response Surface Method(RSM) method was used. Therefore, IPMSM resulted an optimized design model with high torque, low harmonics, and constant value of safety factor.

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평면형 군위상 지연 선형화기의 설계 (A Design of Planner Linear Group Delay Equalizer)

  • 권혁문;최원규;황희용;최경
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2003년도 종합학술발표회 논문집 Vol.13 No.1
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    • pp.496-500
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    • 2003
  • In This paper, a pole-zero optimized design method for multi-layed planar interdigital stripeline linear group delay bandpass filter with tap input port is presented. As a design example, a four-pole group delay filter with center frequency of 2.14GHz, bandwidth of 160MHz, and group delay variation of ${\pm}0.1nS$ for LTCC technology or multilayerd PCB technology is designed. In the design process, as well the whole structure is not necessary to be simulated, and within three times of optimizing process we have good result as well. This design method could be useful for controlling error correction of manufacturing process as well as design stage.

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A New Reliability-Based Optimal Design Algorithm of Electromagnetic Problems with Uncertain Variables: Multi-objective Approach

  • Ren, Ziyan;Peng, Baoyang;Liu, Yang;Zhao, Guoxin;Koh, Chang-Seop
    • Journal of Electrical Engineering and Technology
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    • 제13권2호
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    • pp.704-710
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    • 2018
  • For the optimal design of electromagnetic device involving uncertainties in design variables, this paper proposes a new reliability-based optimal design algorithm for multiple constraints problems. Through optimizing the nominal objective function and maximizing the minimum reliability, a set of global optimal reliable solutions representing different reliability levels are obtained by the multi-objective particle swarm optimization algorithm. Applying the sensitivity-assisted Monte Carlo simulation method, the numerical efficiency of optimization procedure is guaranteed. The proposed reliability-based algorithm supplying multi-reliable solutions is investigated through applications to analytic examples and the optimal design of two electromagnetic problems.

Weight minimum design of concrete beam strengthened with glass fiber reinforced polymer bar using genetic algorithm

  • Rahman, Md. Moshiur;Jumaat, Mohd Zamin;Islam, A.B.M. Saiful
    • Computers and Concrete
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    • 제19권2호
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    • pp.127-131
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    • 2017
  • This paper presents a generalized formulation for optimizing the design of concrete beam reinforced with glass fiber reinforced polymer bar. The optimization method is formulated to find the design variables leading to the minimum weight of concrete beam with constraints imposed based on ACI code provisions. A simple genetic algorithm is utilized to solve the optimization task. The weights of concrete and glass fiber reinforced polymer bar are included in the formulation of the objective function. The ultimate limit states and the serviceability limit states are included in formulation of constraints. The results of illustrated example demonstrate the efficiency of the proposed method to reduce the weight of beam as well as to satisfy the above requirement. The application of the optimization based on the most economical design concept have led to significant savings in the amount of the component materials to be used in comparison to classical design solutions.

A Novel Region Decision Method with Mesh Adaptive Direct Search Applied to Optimal FEA-Based Design of Interior PM Generator

  • Lee, Dongsu;Son, Byung Kwan;Kim, Jong-Wook;Jung, Sang-Yong
    • Journal of Electrical Engineering and Technology
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    • 제13권4호
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    • pp.1549-1557
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    • 2018
  • Optimizing the design of large-scale electric machines based on nonlinear finite element analysis (FEA) requires longer computation time than other applications of FEA, mainly due to the huge size of the machines. This paper addresses a new region decision method (RDM) with mesh adaptive direct search (MADS) for the optimal design of wind generators in order to reduce the computation time. The validity of the proposed algorithm is evaluated using Rastrigin and Goldstein-Price benchmark function. Moreover, the algorithm is employed for the optimal design of a 5.6MW interior permanent magnet synchronous generator to minimize the torque ripple. Additionally, mechanical stress analysis as well as electromagnetic field analysis have been implemented to prevent breakdown caused by large centrifugal forces of the modified design.

실험계획법을 이용한 집중권 권선형 Spoke type IPMSM의 형상최적설계에 대한 연구 (A Study on Optimal Pole Design of Spoke type IPMSM with Concentrated Winding for Reducing the Torque Ripple by Experiment Design Method)

  • 황규윤;권병일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 춘계학술대회 논문집 에너지변화시스템부문
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    • pp.46-49
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    • 2009
  • An optimal design procedure is proposed to effectively reduce the torque ripple by optimizing the rotor pole shape of the spoke type IPMSM with concentrated winding. The procedure is composed of two steps. In step I, the steepest descent method (SDM) is used with only two design variables to rapidly approach the optimal shape. From the near optimal rotor shape as a result of the step I, the design variables are reselected and the drawing spline curves are utilized to explain more complex shape with the Kriging model in step II. By using an optimal design procedure, we show that the optimized rotor pole shape of the spoke type IPMSM effectively reduces the torque ripple while still maintaining the average torque.

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전류연속 모드 탭인덕터 부스트 컨버터의 분석과 설계 (Analysis and Design of Continuous Current Mode Tapped-Inductor Boost Converter)

  • 강정일;한상규;한종희
    • 전력전자학회논문지
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    • 제19권4호
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    • pp.349-356
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    • 2014
  • As the turns ratio of the tapped-inductor contributes to the step-up ratio, the tapped-inductor boost (TIB) converter has significantly increased level of difficulties in its analysis and design compared to the conventional boost converter where the duty ratio is the sole factor affecting the step-up ratio. In this paper, the operation of the continuous current mode TIB converter is briefly reviewed, the characteristics are analyzed in detail, and a design guideline optimizing the loss in the tapped-inductor is presented with a practical design example. Finally, experimental results from a 12V/120V prototype for 0.25A LED driver application are also presented to confirm the design.

사출 성형품의 두 품질특성 최적화를 위한 실용적 방법의 개발 (Development of a Practical Method to Optimize Two-Quality Characteristics in Injection Molded Parts)

  • 박종천;차재호
    • 한국기계가공학회지
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    • 제14권6호
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    • pp.90-97
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    • 2015
  • Optimization of multi-quality characteristics in injection molded parts is very important, but it is sometimes difficult for part/mold designers. The objective of this study is to develop a practical design methodology for optimizing two-quality characteristics of injection molded parts. To attain this end, we developed a new design-range reduction algorithm based on Taguchi's orthogonal arrays for two characteristics. Then, the algorithm was integrated with commercial injection-molding simulation tools. A feature of the proposed methodology is that it allows field-designers unfamiliar with general optimization methods to be able to apply the methodology to their design problems with ease. Finally, we have applied the proposed design methodology to optimization of weldlines and deflections in an actual bezel model. The results show the usefulness of this methodology.

유체기계 임펠러의 최적 역설계 기법 (Optimization Inverse Design Technique for Fluid Machinery Impellers)

  • 김종섭;박원규
    • 한국전산유체공학회지
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    • 제3권1호
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    • pp.37-45
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    • 1998
  • A new and efficient inverse design method based on the numerical optimization technique has been developed. The 2-D incompressible Navier-Stokes equations are solved for obtaining the objective functions and coupled with the optimization procedure to perform the inverse design. The steepest descent and the conjugate gradient method have been applied to find the searching direction. The golden section method was applied to compute the design variable intervals. It has been found that the airfoil and the pump impellers are well converged to their targeting shapes.

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Examination of three meta-heuristic algorithms for optimal design of planar steel frames

  • Tejani, Ghanshyam G.;Bhensdadia, Vishwesh H.;Bureerat, Sujin
    • Advances in Computational Design
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    • 제1권1호
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    • pp.79-86
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    • 2016
  • In this study, the three different meta-heuristics namely the Grey Wolf Optimizer (GWO), Stochastic Fractal Search (SFS), and Adaptive Differential Evolution with Optional External Archive (JADE) algorithms are examined. This study considers optimization of the planer frame to minimize its weight subjected to the strength and displacement constraints as per the American Institute of Steel and Construction - Load and Resistance Factor Design (AISC-LRFD). The GWO algorithm is associated with grey wolves' activities in the social hierarchy. The SFS algorithm works on the natural phenomenon of growth. JADE on the other hand is a powerful self-adaptive version of a differential evolution algorithm. A one-bay ten-story planar steel frame problem is examined in the present work to investigate the design ability of the proposed algorithms. The frame design is produced by optimizing the W-shaped cross sections of beam and column members as per AISC-LRFD standard steel sections. The results of the algorithms are compared. In addition, these results are also mapped with other state-of-art algorithms.