• 제목/요약/키워드: overhead

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실시간 환경을 위한 효율적인 인과순서 알고리즘 (An Efficient Causal Order Algorithm for Real-Time Environment)

  • 장익현
    • 정보처리학회논문지A
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    • 제12A권1호
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    • pp.23-30
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    • 2005
  • 인과순서 메시지 전달 알고리즘은 모든 전송되는 메시지가 인과순서로 전달되도록 한다. 인과순서를 유지하기 위해서는 전송되는 모든 메시지가 제어정보를 가지고 다녀야 하고, 제어정보의 크기는 관련된 프로세스의 수에 비례하여 커지게 되므로 제어정보의 크기를 줄이는 것은 분산시스템의 주요한 관심사가 되어 왔다. 본 논문에서는 실시간 성질을 가지는 멀티미디어 자료를 위한 효율적인 ${\Delta}$-인과순서 알고리즘을 제안하고 평가하였다. 제안된 알고리즘은 전송 부하를 줄이기 위하여 인과순서를 유지하는데 필수적이지 않은 정보를 가능한 이른 시기에 찾아내어 제거하며, 기존 알고리즘보다 훨씬 적은 전송부하를 가지게 된다.

능동 판토그래프 제어기 설계에 관한 연구 (Design of Active Pantograph Controller)

  • 고태환;엄주환;엄기영;신승권
    • 한국철도학회논문집
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    • 제8권4호
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    • pp.361-366
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    • 2005
  • The high investment is necessary for the new high speed lines. So the KRRI has been interested in the possibility of upgrading the existing line in order to speed up the train in the conventional lines. The pantograph in train is indispensable in order to supply the electrification equipments with power in safe. The pantograph and the overhead wire form a dynamic coupled system and they affect each other through the contact force. Unfortunately, as the operational speed of a train increases, the vibration of the pantograph and the overhead wire also increases. This may lead to a zero contact force between the pantograph head and the overhead wire, which can results in the loss of contact, arching and abrasion. If the arching and spark happen between the pantograph and the overhead catenary system, the EMI(electro magnetic interface) and noises may occur. After all, the quality of current collection is deteriorated. This paper describes the dynamic response between the pantograph and catenary system by the numerical simulations and presents the LQ-servo controller to reduce the contact force variation

전압 변경 오버헤드를 고려한 전력 관리 알고리즘 (A Power-Aware Scheduling Algorithm with Voltage Transition Overhead)

  • 권혁성;안병철
    • 한국멀티미디어학회논문지
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    • 제11권5호
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    • pp.641-650
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    • 2008
  • 휴대 기기의 보급 확대에 따라 작은 배터리의 사용 시간 연장을 위해 배터리의 전력 관리 기법이 필요하다. 기존의 전력 관리 기법들은 전압 변경에 따른 오버헤드를 고려하지 않거나 부분적으로 고려하였다. 따라서 전압 변경 오버헤드는 개인용 멀티미디어 시스템의 실시간 태스크의 스케줄을 보장 못하는 경우가 발생할 수 있다. 본 논문은 전압 변경 오버헤드를 고려하면서 시스템의 이용률 정보를 바탕으로 사용 가능한 주파수의 개수와 연속된 주파수 사이의 간격을 조절하여 소비 전력을 줄이는 전력 관리 알고리즘을 제안한다. 본 알고리즘은 주파수 변경 회수를 줄여 기존의 CC RT-DVS 방법과 smoothing 방법에 비해 10에서 25%정도 소비 전력을 절감할 수 있다.

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슬라이딩모드 제어기를 이용한 산업용 천정크레인의 추종제어에 관한 연구 (A Study on Tracking Control of an Industrial Overhead Crane Using Sliding Mode Controller)

  • 박병석;윤지섭;강이석
    • 제어로봇시스템학회논문지
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    • 제6권11호
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    • pp.1022-1032
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    • 2000
  • We propose a sliding mode controller tracking the states of a time-varying reference model. The reference model generates the desired trajectories of the states, and the sliding mode controller regulates robustly the errors between the desired states and the measured states. We apply this controller to the overhead crane. Its reference model generates the trajectories of the damped-out swing angle and the swing angular velocity to suppress the swinging motion caused by the acceleration and the deceleration of crane transportation. Also, this model generates the desired trajectories of the position and velocity of the crane. The crane model is identified from the experimental data using an orthogonal function. Kalman filtering is applied to estimate the crane states. The designed controller is simulated on a computer and is tested through a 2-ton industrial overhead crane using the vector-controlled servo motor system. It is verified that, from the simulated and experimental results, the sliding mode controller tracking a time-varying reference model works well.

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퍼지 관측기와 퍼지 가변구조제어를 이용한 천정주행 크레인의 적응형 흔들림 억제 궤적추종제어 (Adaptive Anti-Sway Trajectory Tracking Control of Overhead Crane using Fuzzy Observer and Fuzzy Variable Structure Control)

  • 박문수;좌동경;홍석교
    • 제어로봇시스템학회논문지
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    • 제13권5호
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    • pp.452-461
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    • 2007
  • Adaptive anti-sway and trajectory tracking control of overhead crane is presented, which utilizes Fuzzy Uncertainty Observer(FUO) and Fuzzy based Variable Structure Control(FVSC). We consider an overhead crane system which can be decoupled into the actuated and unactuated subsystems with its own lumped uncertainty such as parameter uncertainties and external disturbance. First, a new method for anti-sway control using FVSC is proposed to improve the conventional method based on Lyapunov direct method, while a conventional trajectory tracking control law using feedback linearization is directly adopted. Second, FUO is designed to estimate one of the two lumped uncertainties which can compensate both of them, based on the fact that two lumped uncertainties are coupled with each other. Then, an adaptive anti-sway control is proposed by incorporating the proposed FVSC and FUO. Under the condition that the observation error is Uniformly Ultimately Bounded(UUB) within an arbitrarily shrinkable region, the overall closed-loop system is shown to be Globally Uniformly Ultimately Bounded(GUUB). In addition, the Global Asymptotic Stability(GAS) of it is shown under the vanishing disturbance assumption. Finally, the effectiveness of the proposed scheme has been confirmed by numerical simulations.

천장크레인의 무인운전 시스템을 위한 운동제어 알고리즘 개발 (Development of a Motion Control Algorithm for the Automatic Operation System of Overhead Cranes)

  • 이종규;박영조;이상룡
    • 대한기계학회논문집A
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    • 제20권10호
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    • pp.3160-3172
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    • 1996
  • A search algorithm for the collision free, time optimal transport path of overhead cranes has been proposed in this paper. The map for the working environment of overhead cranes was constructed in the form of three dimensional grid. The obstacle occupied region and unoccupied region of the map has been represented using the octree model. The best-first search method with a suitable estimation function was applied to select the knot points on the collision free transport path to the octree model. The optimization technique, minimizing the travel time required for transporting objects to the goal while subjected to the dynamic constraints of the crane system, was developed to find the smooth time optimal path in the form of cubic spline functions which interpolate the selected knot points. Several simulation results showed that the selected estimation function worked effectively insearching the knot points on the collision free transport path and that the resulting transport path was time optimal path while satisfying the dynamic constraints of the crane system.

2차원 천정크레인의 위치 및 이송물의 흔들림제어 (Position and load-swing control of a 2-dimensional overhead crane)

  • 이호훈;조성근
    • 대한기계학회논문집A
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    • 제21권10호
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    • pp.1683-1693
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    • 1997
  • In this paper, a new nonlinear dynamic model is derived for a 2-dimensional overhead crane based on a new definition of 2-degree-of-freedom swing angle, and a new anti-swing control law is proposed for the crane. The dynamic model and control law take simultaneous travel and traverse motions of the crane into consideration. The model is first linearized for small motions of the crane load about the vertical stable equilibrium. Then the model becomes decoupled and symmetric with respect to the travel and traverse axes of the crane. From this result, a decoupled anti-swing control law is proposed based on the linearized model via the loop shaping and root locus methods. This decoupled method guarantees not only fast damping of load-swing but also zero steady state position error with optimal transient response for the 2-dimensional motion of the crane. Finally, the proposed control method is evaluated by controlling the simultaneous travel and traverse motions of a 2-dimensional prototype overhead crane. The effectiveness of the proposed control method is then proven by the experimental results.

스케일 불변적인 연산량 감소를 위한 경량 실시간 소형 적외선 표적 검출 알고리즘 (A Lightweight Real-Time Small IR Target Detection Algorithm to Reduce Scale-Invariant Computational Overhead)

  • 반종희;유준혁
    • 대한임베디드공학회논문지
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    • 제12권4호
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    • pp.231-238
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    • 2017
  • Detecting small infrared targets from the low-SCR images at a long distance is very hard. The previous Local Contrast Method (LCM) algorithm based on the human visual system shows a superior performance of detecting small targets by a background suppression technique through local contrast measure. However, its slow processing speed due to the heavy multi-scale processing overhead is not suitable to a variety of real-time applications. This paper presents a lightweight real-time small target detection algorithm, called by the Improved Selective Local Contrast Method (ISLCM), to reduce the scale-invariant computational overhead. The proposed ISLCM applies the improved local contrast measure to the predicted selective region so that it may have a comparable detection performance as the previous LCM while guaranteeing low scale-invariant computational load by exploiting both adaptive scale estimation and small target feature feasibility. Experimental results show that the proposed algorithm can reduce its computational overhead considerably while maintaining its detection performance compared with the previous LCM.

비동기 설계 방식기반의 저전력 뉴로모픽 하드웨어의 설계 및 구현 (Low Power Neuromorphic Hardware Design and Implementation Based on Asynchronous Design Methodology)

  • 이진경;김경기
    • 센서학회지
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    • 제29권1호
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    • pp.68-73
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    • 2020
  • This paper proposes an asynchronous circuit design methodology using a new Single Gate Sleep Convention Logic (SG-SCL) with advantages such as low area overhead, low power consumption compared with the conventional null convention logic (NCL) methodologies. The delay-insensitive NCL asynchronous circuits consist of dual-rail structures using {DATA0, DATA1, NULL} encoding which carry a significant area overhead by comparison with single-rail structures. The area overhead can lead to high power consumption. In this paper, the proposed single gate SCL deploys a power gating structure for a new {DATA, SLEEP} encoding to achieve low area overhead and low power consumption maintaining high performance during DATA cycle. In this paper, the proposed methodology has been evaluated by a liquid state machine (LSM) for pattern and digit recognition using FPGA and a 0.18 ㎛ CMOS technology with a supply voltage of 1.8 V. the LSM is a neural network (NN) algorithm similar to a spiking neural network (SNN). The experimental results show that the proposed SG-SCL LSM reduced power consumption by 10% compared to the conventional LSM.

345/154kV 초고압 송변전설비 주변에서의 자장의 측정과 분석 (Measurement and Analysis of Magnetic Field near 345/154kV UHV Overhead Transmission Lines and Substations)

  • 이정기;안창환;이복희;길경석;박동화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 C
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    • pp.1813-1815
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    • 1996
  • With the three dimensional magnetic field measuring system dealt with in this paper, accurate measurements and analyses of ELF magnetic fields in the vicinity of UHV overhead transmission lines and substations have been conducted. For the field measurements multiturn loop-type sensors have been developed with special consideration of taking lower frequency and spatial components without any distortion. So the measuring system has the frequency bandwidth of 8[Hz] to about 53[kHz] and the response sensitivity of $9.88[mV/{\mu}T]$ in average. A brief description of design rules of the measuring system and measurement procedures is given. The actual surrey near 154 and 345[kV] overhead transmission lines and power subststions was carried out and analyzed. It may be inferred from these results that the maximum magnetic field intensities under typical UHV overhead transmission lines do not exceed $20[{\mu}T]$ so that the field measurements satisfy sufficiently all limits or guidelines that various authorized international institutes recommend.

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