• Title/Summary/Keyword: advanced numerical algorithm

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Sensorless Speed Control of Induction Motor using Current Compensation

  • Oh, Sae-Gin;Kim, Jong-Su;Kim, Sung-Hwan
    • Journal of Advanced Marine Engineering and Technology
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    • v.27 no.4
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    • pp.503-510
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    • 2003
  • A new method of induction motor drive, which requires neither shaft encoder nor speed estimator, is presented. The proposed scheme is based on decreasing current gap between a numerical model and an actual motor. By supplying the identical instantaneous voltage to both model and motor in the direction of reducing the current difference. the rotor approaches to the model speed. that is. reference value. The indirect field orientation algorithm is employed for tracking the model currents. The performance of induction motor drives without speed sensor is generally characteristic of poorness at very low speed. However, in this system, it is possible to obtain good speed response in the extreme low speed range.

Analysis of Tidal Current for Cheonsu Bay Using Heaps Model (Heaps 모델을 이용한 천수만 해역의 조류해석)

  • 박영기
    • Journal of Environmental Science International
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    • v.4 no.2
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    • pp.245-251
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    • 1995
  • Generally, It is Introduced to well-known other models without considering tidal current of the field. The paper presents field measurements and numerical model solving velocity field of Cheonsu Bay by two-dimensional tidal model. It was proved that this scheme is easy to handle complex topography. Computed results is represented characteristics of tidal current for Cheonsu Bay. The results of the study can be summarized as follows ; 1. Tide form number has 0.21 value. Tidal range estimated 630.3 cm on spring, 454.1 cm on mean and 277.9 cm on neap, respectively 2. Tidal current has semi-diurnal form. Distance of traveling observed 16.6 km on flood and 15.5 km on ebb. 3. Tidal velocity showed reversing current. It was found that tidal velocity above 100 cm/sec is about 20 %. 4. Computed results are in good agreement with the observed data. Applying the algorithm to Cheonsu Bay, velocity fields and dry bank phenomena are simulated well in spite of complex topography. 5. An advanced study on the effects of open boundary conditions should be continuously performed.

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Improved numerical approach for the bond-slip behavior under cyclic loads

  • Kwak, H.G.
    • Structural Engineering and Mechanics
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    • v.5 no.5
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    • pp.663-677
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    • 1997
  • Bond-slip behavior between reinforcement and concrete under push-pull cyclic loadings is numerically investigated based on a reinforcement model proposed in this paper. The equivalent reinforcing steel model considering the bond-slip effect without taking double nodes is derived through the equilibrium at each node of steel and the compatibility condition between steel and concrete. Besides a specific transformation algorithm is composed to transfer the forces and displacements from the nodes of the steel element to the nodes of the concrete element. This model first results in an effective use in the case of complex steel arrangements where the steel elements cross the sides of the concrete elements and second turns the impossibility into a possibility in consideration of the bond-slip effect in three dimensional finite element analysis. Finally, the correlation studies between numerical and experimental results under the continuously repeated large deformation stages demonstrate the validity of developed reinforcing steel model and adopted algorithms.

Time-varying Proportional Navigation Guidance using Deep Reinforcement Learning (심층 강화학습을 이용한 시변 비례 항법 유도 기법)

  • Chae, Hyeok-Joo;Lee, Daniel;Park, Su-Jeong;Choi, Han-Lim;Park, Han-Sol;An, Kyeong-Soo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.4
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    • pp.399-406
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    • 2020
  • In this paper, we propose a time-varying proportional navigation guidance law that determines the proportional navigation gain in real-time according to the operating situation. When intercepting a target, an unidentified evasion strategy causes a loss of optimality. To compensate for this problem, proper proportional navigation gain is derived at every time step by solving an optimal control problem with the inferred evader's strategy. Recently, deep reinforcement learning algorithms are introduced to deal with complex optimal control problem efficiently. We adapt the actor-critic method to build a proportional navigation gain network and the network is trained by the Proximal Policy Optimization(PPO) algorithm to learn an evasion strategy of the target. Numerical experiments show the effectiveness and optimality of the proposed method.

A Two-Process Two-Product Inventory Model on a Single Facility with By-Product

  • Moon, Dug-Hee;Hwang, Hark
    • Journal of Korean Institute of Industrial Engineers
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    • v.12 no.2
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    • pp.67-76
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    • 1986
  • This study is concerned with a single-facility production system in which two kinds of products, product 1 and 2, are produced by two different processes, process 1 and 2. Product 2 is produced either by process 2 or by process 1 as by-product, while product 1 is obtained only through process 1. The repeating sequences of the two processes and their associated lot sizes are determined which minimize the total inventory related cost. A solution algorithm is developed and is illustrated with numerical examples.

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Thermal Analysis of Automotive Disc Brake Using FFT-FEM (FFT-FEM을 이용한 자동차용 디스크 브레이크의 열 해석)

  • Choi, Ji-Hoon;Kim, Do-Hyung;Lee, In
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.8
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    • pp.1253-1260
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    • 2001
  • Transient thermal analysis of a three-dimensional axisymmetric automotive disk brake is presented in this paper. Temperature fields are obtained using a hybrid FFT-FEM scheme that combines Fourier transform techniques and finite element method. The use of a fast Fourier transform algorithm can avoid singularity problems and lead to inexpensive computing time. The transformed problem is solved with finite element scheme for each frequency domain. Inverse transforms are then performed for time domain solution. Numerical examples are presented for validation tests. Comparisons with analytical results show very good agreement. Also, a 3-D simulation, based upon an automotive brake disk model is performed.

Nonlinear Model Predictive Control for Multiple UAVs Formation Using Passive Sensing

  • Shin, Hyo-Sang;Thak, Min-Jea;Kim, Hyoun-Jin
    • International Journal of Aeronautical and Space Sciences
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    • v.12 no.1
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    • pp.16-23
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    • 2011
  • In this paper, nonlinear model predictive control (NMPC) is addressed to develop formation guidance for multiple unmanned aerial vehicles. An NMPC algorithm predicts the behavior of a system over a receding time horizon, and the NMPC generates the optimal control commands for the horizon. The first input command is, then, applied to the system and this procedure repeats at each time step. The input constraint and state constraint for formation flight and inter-collision avoidance are considered in the proposed NMPC framework. The performance of NMPC for formation guidance critically degrades when there exists a communication failure. In order to address this problem, the modified optimal guidance law using only line-of-sight, relative distance, and own motion information is presented. If this information can be measured or estimated, the proposed formation guidance is sustainable with the communication failure. The performance of this approach is validated by numerical simulations.

Advanced Method for an Initial Pole Position Estimation of a PMLSM (PMLSM의 개선된 초기 자극위치 추정방법)

  • Lee Jin-Woo
    • Proceedings of the KIPE Conference
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    • 2004.07a
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    • pp.316-320
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    • 2004
  • This paper presents an advanced method for an initial pole position estimation of a PMLSM (Permanent Magnet Linear Synchronous Motor) that has an incremental encoder for servo applications but does not have Hall sensors as a magnetic pole sensor. The proposed algorithm finds either of two zero force positions and then the correct d-axis by appropriately using the secant method as a numerical method. It only requires the tuned current controller and the relative position information and so it can be simply applicable to a rotary PMSM. The experimental results show the validity of the proposed method with respect to accurate pole position estimation under the minimal moving distance during estimation process.

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Analysis of Accelerated Life Tests with Intrinsic and Extrinsic Failure Modes (내부고장요인과 외부고장요인이 있는 제품에 대한 가속수명 시험의 분석)

  • Kim, C. M.;D. S, Bai
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2000.04a
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    • pp.381-384
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    • 2000
  • This paper proposes a method of estimating the lifetime distribution at use condition for constant stress accelerated lift tests when extrinsic failure mode as well as intrinsic one exists. A mixture of two log-normal distributions is introduced to describe these failure modes and it is assumed that a linear relation exists between the location parameter and stress. An estimation procedure using the expectation and maximization algorithm is proposed and a numerical example is given.

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Advanced Lane Change Assist System for Automatic Vehicle Control in Merging Sections : An algorithm for Optimal Lane Change Start Point Positioning (고속도로 합류구간 첨단 차로변경 보조 시스템 개발 : 최적 차로변경 시작 지점 Positioning 알고리즘)

  • Kim, Jinsoo;Jeong, Jin-han;You, Sung-Hyun;Park, Janhg-Hyon;Young, Jhang-Kyung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.3
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    • pp.9-23
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    • 2015
  • A lane change maneuver which has a high driver cognitive workload and skills sometimes leads to severe traffic accidents. In this study, the Advanced Lane Change Assist System (ALCAS) was developed to assist with the automatic lane changes in merging sections which is mainly based on an automatic control algorithm for detecting an available gap, determining the Optimal Lane Change Start Point (OLCSP) in various traffic conditions, and positioning the merging vehicle at the OLCSP safely by longitudinal automatic controlling. The analysis of lane change behavior and modeling of fundamental lane change feature were performed for determining the default parameters and the boundary conditions of the algorithm. The algorithm was composed of six steps with closed-loop. In order to confirm the algorithm performance, numerical scenario tests were performed in various surrounding vehicles conditions. Moreover, feasibility of the developed system was verified in microscopic traffic simulation(VISSIM 5.3 version). The results showed that merging vehicles using the system had a tendency to find the OLCSP readily and precisely, so improved merging performance was observed when the system was applied. The system is also effective even during increases in vehicle volume of the mainline.