• 제목/요약/키워드: Parameter Optimization

검색결과 1,553건 처리시간 0.033초

Parameter design of an hydraulic track motor system

  • Um, Taijoon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.208-211
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    • 1993
  • This paper presents the parameter design method for the desired time response of hydraulic track motor system of an industrial excavator. The dynamic response depends upon many component parameters such as motor displacement, spring constant and various valve coefficients. Most of them are to be determined to obtain the desired response while some parameters are fixed, or discrete for the off-the-shelf type components. The parameters might be selected through repeated simulations of the system once the system is mathematically represented. This paper, however, presents optimization technique to select two parameters using a parameter optimization technique. The variational approach is applied to the system equations which are represented as state equations and from those system equations derived are the adjoint equations. The gradients for each parameter also are formed for the iterations.

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On-line 시스템 모델과 파라메터 최적화 기법을 이용한 AVR의 최적 파라메터 튜닝 (AVR Parameter tuning with On-line System model using Parameter optimization technique)

  • 김중문;문승일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 C
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    • pp.1242-1244
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    • 1999
  • AVR parameter tuning for voltage control of power system generators has generally been done with the open-circuit model of the synchronous generator. When the generator is connected on-line and operating at rated load conditions, the AVR operates in an entirely different environment from the open-circuit conditions. This paper describes a new method for AVR parameter tuning using optimization technique with on-line linearized system model. As this method considers not only the on-line models but also the off-line open-circuit models, AVR parameters tuned by this method can give the sufficiently stable performance at the open-circuit commissioning phase and give the desired performance at the operating conditions. Also this method estimates the optimum parameters for desired performance indices that are chosen for satisfying requirements in some practical applications, the performance of the AVR can satisfy the various requirements.

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PSO 기반 동기발전기 시스템 모델정수 추정에 관한 연구 (A Study on Parameter Estimation of the Synchronous Generator System based on the Modified PSO)

  • 최형주;김인수;이흥호
    • 전기학회논문지
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    • 제64권1호
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    • pp.8-15
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    • 2015
  • This paper includes a method for estimating the parameter of a synchronous generator and exciter using the modified particle swarm optimization. A solid round rotor synchronous generator and exciter have been modeled with the saturation function. They are regarded as state of being cooperative to a infinite bus. The behavior characteristic of all particles assigned to a parameter needs to be reflected in the PSO algorithm to fine out more close result to the optimal solution. The results of the simulation to estimate the parameters of the synchronous generator and exciter in the modified PSO algorithm are described.

가변의 조정변수를 갖는 복합된 1-2 단계 최적화 알고리즘 (A Unified Phase I - Phase II Semi-Infinite Constrained Optimization Algorithm with a Varying Steering Parameter)

  • Yang, Hyun-Suk
    • 전자공학회논문지B
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    • 제31B권9호
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    • pp.27-35
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    • 1994
  • It is known that a unified phase I-phase II semi-infinite optimization algorithm with a steerign parameter performs better than the original unified phase I-phase II algorithm. In this paper, the effect of the steering parameter is analized and a new algorithm is presented based on the facts that when the point x is far away from the feasible region, reaching to the feasible region is more important than minimizing the cost functio and that when the point x is near the region, it is more efficient to try to reach the feasible region and to minimize the cost function concurrently. It is also important to consider the relationship between the feasible direction and the gradient of the cost function. Even though changing the steering parameter does not change the rate of convergence of the algorithm, it is shown from examples that given new algorithm is more efficient than the previous ones.

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Hybrid PSO-Complex Algorithm Based Parameter Identification for a Composite Load Model

  • Del Castillo, Manuelito Y. Jr.;Song, Hwachang;Lee, Byongjun
    • Journal of Electrical Engineering and Technology
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    • 제8권3호
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    • pp.464-471
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    • 2013
  • This paper proposes a hybrid searching algorithm based on parameter identification for power system load models. Hybrid searching was performed by the combination of particle swarm optimization (PSO) and a complex method, which enhances the convergence of solutions closer to minima and takes advantage of global searching with PSO. In this paper, the load model of interest is composed of a ZIP model and a third-order model for induction motors for stability analysis, and parameter sets are obtained that best-fit the output measurement data using the hybrid search. The origin of the hybrid method is to further apply the complex method as a local search for finding better solutions using the selected particles from the performed PSO procedure.

가중치 초기화 및 매개변수 갱신 방법에 따른 컨벌루션 신경망의 성능 비교 (Performance Comparison of Convolution Neural Network by Weight Initialization and Parameter Update Method1)

  • 박성욱;김도연
    • 한국멀티미디어학회논문지
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    • 제21권4호
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    • pp.441-449
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    • 2018
  • Deep learning has been used for various processing centered on image recognition. One core algorithms of the deep learning, convolutional neural network is an deep neural network that specialized in image recognition. In this paper, we use a convolutional neural network to classify forest insects and propose an optimization method. Experiments were carried out by combining two weight initialization and six parameter update methods. As a result, the Xavier-SGD method showed the highest performance with an accuracy of 82.53% in the 12 different combinations of experiments. Through this, the latest learning algorithms, which complement the disadvantages of the previous parameter update method, we conclude that it can not lead to higher performance than existing methods in all application environments.

High Speed DRAM의 Speed 특성 향상을 위한 EDS Laser_Repair Condition 최적화 방안 연구 (A Study about Optimization of Laser_repair Condition in EDS Area to Improve the Speed Parameter of High Speed DRAM)

  • 김이순;한영신;이칠기
    • 대한전자공학회논문지SD
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    • 제39권11호
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    • pp.1-6
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    • 2002
  • 본 논문에서는 High speed DRAM의 speed 특성을 향상시키기 위한 Laser_Repair Condition 최적화의 한 방안을 구현하였다. 구현 방법은 먼저 Wafer내의 개별 Die별 DC Generator level을 확인하고 최약 DC Generator를 파악한 후 AC parameter의 margin을 check하고 AC parameter의 특성을 개선시킬 수 있는 DC Generator level을 forcing하여 test하여 개선 효과를 곧장 확인하였고 그에 대한 Fuse cutting inform을 생성하여 Laser_Repair 공정에서 적용하여 Post_Laser test시 개선 효과를 확인하였다.

VBIC Model Application and Parameter Extraction and Optimization for SiGe HBT

  • Lee, Sang-Heung;Park, Chan-Woo;Lee, Seung-Yun;Lee, Ja-Yol;Kang, Jin-Yeong
    • 한국통신학회논문지
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    • 제28권8A호
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    • pp.650-656
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    • 2003
  • In 1995, a group of representatives from the integrated circuits and computer-aided design industries presented a industry standard bipolar model called the VBIC model. The VBIC model includes the improved Early effect, quasi-saturation, substrate parasitic, avalanche multiplication, and self-heating which are not available in the conventional SGP model. This paper applies VBIC model for SiGe HBT device and develops an accurate and efficient methodology to extract all the DC and AC parameters of the VBIC model for SiGe HBT device at room temperature. Simulated results by the extracted VBIC model parameter are compared with the measurement data and show very good agreement in both DC and s-parameters prediction.

반응표면법을 이용한 솔레노이드형 자기액추에이터의 치수 최적화 설계 (Parameter design optimization of solenoid type magnetic actuator using response surface methodology)

  • 소현준;유정훈
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.579-584
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    • 2003
  • Solenoid type magnetic actuator is the device, which could translate the electromagnetic energy to mechanical force. The force generated by magnetic flux, could be calculated by Maxwell stress tensor method. Maxwell stress tensor method is influenced by the magnetic flux path. Thus, magnetic force could be improved by modification of the iron case, which is the route of the magnetic flux. Modified design is obtained by parameter optimization using by Response surface methodology.

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다구찌의 파라미터 설계에 대한 반응표면 접근방법을 이용한 다반응 최적화 (Multiresponse Optimization Using a Response Surface Approach to Taguchi′s Parameter Design)

  • 이우선;이종협;임성수
    • 품질경영학회지
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    • 제27권1호
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    • pp.165-194
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    • 1999
  • Taguchi's parameter design seeks proper choice of levels of controllable factors (Parameters in Taguchi's terminology) that makes the qualify characteristic of a product optimal while making its variability small. This aim can be achieved by response surface techniques that allow flexibility in modeling and analysis. In this article, a collection of response surface modeling and analysis techniques is proposed to deal with the multiresponse optimization problem in experimentation with Taguchi's signal and noise factors.

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