• Title/Summary/Keyword: Optimization Technique

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A modeling of manufacturing system and a model analysis by a SIMAN language (생산공정의 모델링과 SIMAN 언어에 의한 모델분석)

  • 이만형;김경천;한성현
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.300-306
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    • 1987
  • This paper deals with a modeling of manufacturing system and a model analysis by a SIMAN language. A flow of production process is analyzed, and a mathematical model on the basis of the analyzed data is simulated by a SIMAN language. An object of this study is to achieve an optimization of production a reduction of cost, and an improvement of quality by a applicable line-balancing technique and an optimization technique in a real factor induced an analysis and synthesis of the result of simulation.

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Optimal Design of CMAC network Using Evolution Strategies (진화 스트레티지를 이용한 CMAC 망 최적 설계)

  • 이선우;김상권;김종환
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.271-274
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    • 1997
  • This paper presents the optimization technique for design of a CMAC network by using an evolution strategies(ES). The proposed technique is designed to find the optimal parameters of a CMAC network, which can minimize the learning error between the desired output and the CMAC network's as well as the number of memory used in the CMAC network. Computer simulations demonstrate the effectiveness of the proposed design method.

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Stiffness Determination Of A Bolted Member Using Optimization Technique (최적화 기법을 이용한 보울트 체결체의 강성 평가)

  • 김태완;조덕상;성기광;손용수;박성호
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1993.04a
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    • pp.151-157
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    • 1993
  • In this paper a useful method on evaluating the joint stiffness of bolted memeber was introduced using optimization technique on the basis of Finite Element Method. A finite element model having one directional gap element at bo undary area was introduced to compensate the prying force in jointed members which might caused by geometrical configuration of members. Results showed a good aggrement with classical method in certain range and will be available to definine the design margine of pre-load design.

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A Study on Optimum Design of Yagi-Uda Antenna (Yagi-Uda 안테나의 최적설계에 관한 연구)

  • Lee, Seon-Mi;Cheon, Chang-Yul
    • Proceedings of the KIEE Conference
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    • 1994.07b
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    • pp.1207-1209
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    • 1994
  • An optimization technique applicable to the Yagi-Uda antenna was proposed in this paper. An objective function, which is the gain of the antenna in our case, was computed using method of moments. Design variables for the Yagi-Uda antenna were chosen with lengths, positions and diameters of the antenna elements. For the optimization process, the evolution strategy technique was adopted. The results were compared with existing results and showed better performances.

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Study on optimization technique for the design of ventilation system of subway (지하철 환기시스템의 최적화에 관한 연구)

  • 김광용;조재형;리쉬밍;양태윤
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.10 no.5
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    • pp.630-639
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    • 1998
  • The present research aimed at development of a computer code for the optimal design of ventilation system based on one-dimensional analysis of the air flow. Model experiment and three-dimensional flow analysis have been implemented to determine loss coefficients that were needed for the optimization technique. A research on optimum shape of ventilation shaft has been also carried out through the three-dimensional analysis of the flow.

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Algorithms and Programs for Optimization of Large-Scale Dynamic System (대형동적 시스템의 최적화 앨고리즘 및 프로그램 개발에 관한 연구)

  • 양흥석;박영문;김건중
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.32 no.4
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    • pp.121-127
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    • 1983
  • In this paper an efficient algorithm for Pontriagin's maximum principle is developed. Fletcher-Powell method is adopted as optimization technique which shows fast and stable convergence characteristics. Terminal constraints are alse considered by using Hestens' algorithm and penalty function method together. Control variable inequality constraints are also considered by using Gradient Projection technique combined with Flectcher-Powell method. Test experiment shows good and reliable results.

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Fabrication of InSb TFT and Parameters EXtraction Using Optimization Technique (InSb TFT의 제작과 최적화 기법에 의한 파라메타 추출)

  • Kim, Hong Bae;Son, Sang Hee;Kwack, Kae Dal
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.1
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    • pp.67-72
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    • 1987
  • InSb TFT is fabricated by the vacuum evaporation method and I-V characteristics are measured. Employing Davidon Fletcher-Powell algorithm, the device parameters are extracted. The current-voltage relations calculated by extracdted parameters are in good agreement with experimental results. It is found that optimization technique may be more simple and accurate than curve fitting method in device parameters extration.

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Charging Control Strategy of Electric Vehicles Based on Particle Swarm Optimization

  • Boo, Chang-Jin
    • Journal of IKEEE
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    • v.22 no.2
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    • pp.455-459
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    • 2018
  • In this paper, proposed a multi-channel charging control strategy for electric vehicle. This control strategy can adjust the charging power according to the calculated state-of-charge (SOC). Electric vehicle (EV) charging system using Particle Swarm Optimization (PSO) algorithm is proposed. A stochastic optimization algorithm technique such as PSO in the time-of-use (TOU) price used for the energy cost minimization. Simulation results show that the energy cost can be reduced using proposed method.

Efficiency Optimization Control of IPMSM with Adaptive FLC-FNN Controller (적응 FLC-FNN 제어기에 의한 IPMSM의 효율 최적화 제어)

  • Choi, Jung-Sik;Ko, Jae-Sub;Chung, Dong-Hwa
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.56 no.2
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    • pp.74-82
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    • 2007
  • Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. This paper proposes efficiency optimization control of IPMSM drive using adaptive fuzzy learning control fuzzy neural network (AFLC-FNN) controller. In order to maximize the efficiency in such applications, this paper proposes the optimal control method of the armature current. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the optimal control of the armature current. The minimization of loss is possible to realize efficiency optimization control for the proposed IPMSM. The optimal current can be decided according to the operating speed and the load conditions. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using AFLC-FNN controller. Also, this paper proposes speed control of IPMSM using AFLC-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled AFLC-FNN controller, the operating characteristics controlled by efficiency optimization control are examined in detail.

Interface Technique for Optimization of Free-form Structural System (구조 최적화를 위한 비정형 구조시스템의 인터페이스 기법)

  • Na, Yoo-Mi;Lee, Jae-Hong;Kang, Joo-Won
    • Journal of Korean Association for Spatial Structures
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    • v.12 no.1
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    • pp.43-50
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    • 2012
  • Recently, due to the advanced computer technology, momental architectures have been designed and built using features that are very sophisticated. People's interest in free-form structural system has increased steadily not only nationwide, but also worldwide. However, there were many difficulties in the materialization of free-form structural system owing to the lack of technique and research. To solve this problem, this study performs the interface between the 3D modeling program and the optimization program. In the 3D modeling program, it is possible to automatic mesh generation and immediately to information extraction. It performs the shape optimization. Consequently, this research designs the example model and performs optimization in order to verify the developed interface module.