• Title/Summary/Keyword: Sequential Simulation

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A Studies for Sequential Mode Change Control Algorithm of the Parallel Dual Converter of Using Thyristor for Supplying the Urban Railway DC Power (도시철도의 직류전력 공급을 위한 사이리스터를 사용한 병렬 듀얼 컨버터의 순차적 모드 전환 제어 알고리즘에 대한 연구)

  • Han, Sung-Woo;Kim, Sung-An;Cho, Yun-Hyun;Byun, Gi-Sig
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.3
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    • pp.511-519
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    • 2016
  • This paper is proposed control algorithm for the using thyristor of the parallel dual converter for Urban railway power supply in order to return the regenerative power generated by regenerative braking in urban railway train. Conventional control algorithm of Thyristor dual converter for urban railway power supply has voltage variation within a control range of hysteresis band. The purposed control algorithm of the parallel thyristor dual converter is to maintain a constant voltage without voltage variation in accordance with variable load through the Sequential mode change. And the control algorithm need calculating optimum initial firing angle to consider magnitude of the load current slope. For this purpose, Proposed algorithm for sequential conversion mode of the dual converter was verified by applying for the simulation.

Training HMM Structure and Parameters with Genetic Algorithm and Harmony Search Algorithm

  • Ko, Kwang-Eun;Park, Seung-Min;Park, Jun-Heong;Sim, Kwee-Bo
    • Journal of Electrical Engineering and Technology
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    • v.7 no.1
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    • pp.109-114
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    • 2012
  • In this paper, we utilize training strategy of hidden Markov model (HMM) to use in versatile issues such as classification of time-series sequential data such as electric transient disturbance problem in power system. For this, an automatic means of optimizing HMMs would be highly desirable, but it raises important issues: model interpretation and complexity control. With this in mind, we explore the possibility of using genetic algorithm (GA) and harmony search (HS) algorithm for optimizing the HMM. GA is flexible to allow incorporating other methods, such as Baum-Welch, within their cycle. Furthermore, operators that alter the structure of HMMs can be designed to simple structures. HS algorithm with parameter-setting free technique is proper for optimizing the parameters of HMM. HS algorithm is flexible so as to allow the elimination of requiring tedious parameter assigning efforts. In this paper, a sequential data analysis simulation is illustrated, and the optimized-HMMs are evaluated. The optimized HMM was capable of classifying a sequential data set for testing compared with the normal HMM.

A Study on the Performance of Optimization Techniques on the Selection of Control Source Positions in an Active Noise Barrier System (능동방음벽 시스템의 제어 음원 위치 선정에 미치는 최적화 기법 성능에 관한 고찰)

  • Im, Hyoung-Jin;Baek, Kwang-Hyun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.1012-1015
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    • 2004
  • There have been several kinds of attempts to actively control the deflected noise behind the noise barrier. Omoto's work in 1993 would be one of the fundamental studies, where he placed the control sources uniformly parallel to the noise barrier. Following this study, Yang pointed that the average distance between the noise source and control sources is more important than the arrangement of control sources such as a straight line or an arc type distribution. In 2004, Baek tried to show optimal arrangement of control sources while keeping the average distance between the noise source and control sources. He used simulated annealing algorithm which is one of the natural algorithms for the selections of optimal control source positions, but the searching technique was a hybrid of the simulated annealing and the sequential searching to adapt to the vast amount of searching time. This study is about the performance comparison between the pure sequential searching and the hybrid one. The simulation results show very similar performance and a pure simulated annealing searching will be more beneficial for the noise reduction performance but at the cost of computing time.

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Fault Detection of Small Turbojet Engine for UAV Using Unscented Kalman Filter and Sequential Probability Ratio Test (무향칼만필터와 연속확률비 평가를 이용한 무인기용 소형제트엔진의 결함탐지)

  • Han, Dong Ju
    • Journal of Aerospace System Engineering
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    • v.11 no.4
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    • pp.22-29
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    • 2017
  • A study is performed for the effective detection method of a fault which is occurred during operation in a small turbojet engine with non-linear characteristics used by unmanned air vehicle. For this study the non-linear dynamic model of the engine is derived from transient thermodynamic cycle analysis. Also for inducing real operation conditions the controller is developed associated with unscented Kalman filter to estimate noises. Sequential probability ratio test is introduced as a real time method to detect a fault which is manipulated for simulation as a malfunction of rotational speed sensor contaminated by large amount of noise. The method applied to the fault detection during operation verifies its effectiveness and high feasibility by showing good and definite decision performances of the fault.

A Comparison of Optimization Algorithms: An Assessment of Hydrodynamic Coefficients

  • Kim, Daewon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.3
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    • pp.295-301
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    • 2018
  • This study compares optimization algorithms for efficient estimations of ship's hydrodynamic coefficients. Two constrained algorithms, the interior point and the sequential quadratic programming, are compared for the estimation. Mathematical optimization is designed to get optimal hydrodynamic coefficients for modelling a ship, and benchmark data are collected from sea trials of a training ship. A calibration for environmental influence and a sensitivity analysis for efficiency are carried out prior to implementing the optimization. The optimization is composed of three steps considering correlation between coefficients and manoeuvre characteristics. Manoeuvre characteristics of simulation results for both sets of optimized coefficients are close to each other, and they are also fit to the benchmark data. However, this similarity interferes with the comparison, and it is supposed that optimization conditions, such as designed variables and constraints, are not sufficient to compare them strictly. An enhanced optimization with additional sea trial measurement data should be carried out in future studies.

Group sequential testing methods for comparing cure rates (임상시험에서 치료율 비교를 위한 집단축차검정법에 관한 고찰)

  • 박경미;이재원
    • The Korean Journal of Applied Statistics
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    • v.9 no.2
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    • pp.95-108
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    • 1996
  • There are many clinical trials where a large portion of the patients are cured of disease. In such a case, one might be more interested in testing the differences in cure rates rather than other types of differences in failure distribution. For ethical and economic reasons, clinical trials must be repeatedly monitored for evidence of treatment benefit or harm. In this article, we examined by simulation the properties of nonparametric group sequential methods for comparing the cure rates between two treatment groups during the trial in a wide range of alternatives, censoring rates and cure rates.

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A Progressive DCT Image Coding by Non-sequential Bit Ordering (비순차적 비트 정렬에 의한 점진적인 DCT 영상 부호화)

  • 김종훈;채종길;심영석
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.3
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    • pp.69-79
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    • 1994
  • DCT image coding has been well known for its compression efficiency. Its nature makes it also suitable for efficient progressive transmission and reconstruction since low frequency transform coefficients contain most of the energy of image signals. In this paper, we propose a progressive transmission technique of DCT image by non-sequential bit ordering using Lloyd-Max quantizer. And then, we will show that the Lloyd-Max quantizer can be embedded quantization. In simulation results, the proposed method show better subjective picture and MSE of the reconstructed image than the conventional zig-zag scanning transmission of transform coefficients.

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A PARALLEL FINITE ELEMENT ALGORITHM FOR SIMULATION OF THE GENERALIZED STOKES PROBLEM

  • Shang, Yueqiang
    • Bulletin of the Korean Mathematical Society
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    • v.53 no.3
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    • pp.853-874
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    • 2016
  • Based on a particular overlapping domain decomposition technique, a parallel finite element discretization algorithm for the generalized Stokes equations is proposed and investigated. In this algorithm, each processor computes a local approximate solution in its own subdomain by solving a global problem on a mesh that is fine around its own subdomain and coarse elsewhere, and hence avoids communication with other processors in the process of computations. This algorithm has low communication complexity. It only requires the application of an existing sequential solver on the global meshes associated with each subdomain, and hence can reuse existing sequential software. Numerical results are given to demonstrate the effectiveness of the parallel algorithm.

Calculation of Total Transfer Capability Considering Uncertainty of Weather (불확실한 날씨 상태를 고려한 총 송전용량 계산)

  • Park, Jin-Wook;Kim, Kyu-Ho;Shin, Dong-Joon;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.199-201
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    • 2005
  • This paper proposes a method to evaluate the TTC by considering uncertainty of weather. Impact of the contingency on the system performance could not be addressed in a deterministic way because of the random nature of the system equipment outage and the increase of outage probability according to weather condition. For this reasons, probabilistic approach is necessary to realize evaluation of TTC. This method uses a sequential MCS. In sequential simulation, the chronological behavior of the system is simulated by sampling sequence of the system operating states based on the probability distribution of the component state duration. Therefor, MCS is used to accomplish the probabilistic calculation of TTC with consideration of weather condition.

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Redundancy Resolution for Free-Floating Manipulators Using Kinematic Optimal Control Approach (기구학적 최적 제어를 사용한 자유 부유 매니퓰레이터의 여유도 해결)

  • Kim, Yong-Min;Kim, Byung-Kook
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.8
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    • pp.790-798
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    • 2011
  • An efficient sequential computation algorithm of kinematic optimal control is suggested for redundancy resolution of freefloating manipulators. Utilization of minimum principle usually requires involved and tedious procedure of differentiation of Hamiltonian. Due to the constraints of momentum conservation, it is not easy to get exact differential equations of boundary value problem for even relatively simple free-floating manipulator models. To overcome this difficulty, we developed an effective sequential algorithm for the computation of terms appeared in the differential equations. The usefulness of suggested approach is verified by simulation of a planar 3-joints free-floating manipulator.