• Title/Summary/Keyword: High-order scheme

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Harmonic Reduction of Input Current in Boost-type Rectifier Using Sigma-Delta Modulation (시그마델타 변조기를 이용한 승압형 정류기의 입력전류 고조파 저감)

  • Bae, C.H.;Lee, B.S.;Park, H.J.;Lee, J.W.
    • Proceedings of the KIEE Conference
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    • 2003.07b
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    • pp.1250-1252
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    • 2003
  • This Paper presents Sigma-Delta Modulation(SDM) schemes to generate switching waveform for a high-power factor boost-type rectifier. The SDM scheme can be implemented by simple digital algorithm unlike conventional PWM schemes with several hardware, and has the characteristics of spectrum-spreading and noise-shaping effects, which are profitable in harmonic reduction of input current in the boost-type rectifier. The comparison results of their spectrum performances shows that the 1st-order SDM has better harmonic suppression effect than conventional PWM scheme and Dithered SDM scheme.

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Autonomous routing control protocol for mobile ad-hoc networks

  • Kim, Dong-Ok;Kang, Dong-Jin
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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    • pp.17-20
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    • 2008
  • A clustering scheme for ad hoc networks is aimed at managing a number of mobile devices by utilizing hierarchical structure of the networks. In order to construct and maintain an effective hierarchical structure in ad hoc networks where mobile devices may move at high mobility, the following requirements must be satisfied. The role of each mobile device for the hierarchical structure is adaptive to dynamic change of the topology of the ad hoc networks. The role of each mobile device should thus change autonomously based on the local information. The overhead for management of the hierarchical structure is small. The number of mobile devices in each cluster should thus be almost equivalent. This paper proposes an adaptive multihop clustering scheme for highly mobile ad hoc networks. The results obtained by extensive simulation experiments show that the proposed scheme does not depend on mobility and node degree of mobile devices in the ad hoc network, which satisfy the above requirements.

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The pressure control of SR Drive for Hydraulic Oil-pump with Data based PID Control (실험 데이터 기반의 PID 제어기를 적용한 유압펌프용 SRM의 압력제어)

  • Seok, Seung-Hun;Kim, Tae-Hyoung;Lee, Dong-Hee;Ahn, Jin-Woo
    • Proceedings of the KIPE Conference
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    • 2008.10a
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    • pp.160-162
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    • 2008
  • This paper presents the practical pressure control of hydraulic oil-pump system using SR drive for industrial application. In order to get a high performance of pressure dynamics in actual application, a data based PID control scheme is proposed in this paper. The look-up table from pre-measured data produces an approximately proper current reference according to motor speed and oil-pressure. And, PID controller can compensate the pressure error. With the combination of two references, the proposed control scheme can get a fast dynamics and stable operation. Furthermore, the suitable current controller considering the nonlinear characteristics of SRM(Switched Reluctance Motor) and practical test method for data measuring are introduced. The proposed control scheme is verified by the experimental test.

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An Effective Control Scheme for Battery Charger System in Electric Vehicles

  • Nguyen, Cong-Long;Lee, Hong-Hee
    • Proceedings of the KIPE Conference
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    • 2012.07a
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    • pp.232-233
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    • 2012
  • This paper presents an effective control scheme for an electric vehicle battery charger where a symmetrical bridgeless power factor-corrected converter and a buck converter are cascaded. Both converters have been popular in industries because of their high efficiency, low cost, and compact size, hence combining these converters makes the overall battery charging system strongly efficient. Moreover, this charger topology can operate at universal input voltage and attain a desired battery current and voltage without ripple. In order to achieve a unity input power factor and zero input current harmonic distortion, the proposed control scheme adopts duty ratio feed-forward control technique in both current and voltage control loop. Additionally, in the current loop, its reference is created by a phase-locked loop (PLL) block, leading to a pure sinusoidal input current although the input voltage waveform is being distorted. The feasibility and practical value of the proposed approach are verified by simulation and experiment with an 110V/60Hz ac line input and 1.5kW-72V dc output of the battery charging system.

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A Synchronous Cooperative Communication for Emergency Alert Broadcast Based on Cellular Systems (이동통신 기반의 재난경보 방송을 위한 동기식 협력통신 방식)

  • Chang, Sekchin
    • Journal of Broadcast Engineering
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    • v.19 no.2
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    • pp.184-194
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    • 2014
  • The CBS methodology has been utilized in order to make a rapid broadcast of emergency alert based on cellular systems. We present a synchronous cooperative communication method for the CBS. Especially, we suggest a synchronization scheme and a data recovery approach for high-rate cooperative communications. For the high-rate transfer of emergency alert, the cyclic prefix is added to the preamble for the synchronization. For the data recovery, the Alamouti technique is utilized on frequency domain, which is similar to SC-FDE. The simulation results confirm that our proposed scheme is very suitable for the CBS.

Development of Power Supply Unit for high power GTO driver (대용량 GTO 구동회로용 Power Supply Unit 개발)

  • Cha, J.D.;Yang, H.J.;Hong, S.W.;Lee, H.S.
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.609-612
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    • 1996
  • This paper describes a design and implementation of the practical SMPS(Switched Mode Power Supply) with multi-output independent regulation scheme. The designed SMPS is applied to the PSU(Power Supply Unit) of high power GTO drivers for a inverter system. In order to accomplish precise voltage regulations for both turn-on and turn-off bias voltages of the GTO driver, the conventional forward type PWM converter scheme is adopted with the Post Regulator using a Saturable Reactor. Analytic design criteria and control schemes are described for practical applications. Finally, the precise regulation of multi-output voltages is proved by experimental results.

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Robustness Analysis of Industrial Manipulator Using Neural-Network (신경회로망을 이용한 산업용 매니퓰레이터의 견실성 해석)

  • Lee, Jin
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1997.04a
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    • pp.125-130
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    • 1997
  • In this paper, it is presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. Robotic manipulators have become increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking are indispensable capabilities for their versatile application. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The TMS320C3x is used in implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme, the networks introduced are neural nets with dynamic neurons, whose dynamics are distributed over all the network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure, fast in computation, andsuitable for implementation of robust control.

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Implementation of a real-time neural controller for robotic manipulator using TMS 320C3x chip (TMS320C3x 칩을 이용한 로보트 매뉴퓰레이터의 실시간 신경 제어기 실현)

  • 김용태;한성현
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.65-68
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    • 1996
  • Robotic manipulators have become increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking are indispensable capabilities for their versatile application. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. This paper presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. The TMS32OC31 is used in implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme, the networks introduced are neural nets with dynamic neurons, whose dynamics are distributed over all the, network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure, fast in computation, and suitable for implementation of real-time, control. Performance of the neural controller is illustrated by simulation and experimental results for a SCARA robot.

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Implementation of a Real-Time Neural Control for a SCARA Robot Using Neural-Network with Dynamic Neurons (동적 뉴런을 갖는 신경 회로망을 이용한 스카라 로봇의 실시간 제어 실현)

  • 장영희;이강두;김경년;한성현
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.255-260
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    • 2001
  • This paper presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. Robotic manipulators have become increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking are indispensable capabilities for their versatile application. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The TMS320C31 is used in implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme, the networks introduced are neural nets with dynamic neurons, whose dynamics are distributed over all the network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Performance of the neural controller is illustrated by simulation and experimental results for a SCARA robot.

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Intelligent Control of Industrial Robot Using Neural Network with Dynamic Neuron (동적 뉴런을 갖는 신경회로망을 이용한 산업용 로봇의 지능제어)

  • 김용태
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1996.10a
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    • pp.133-137
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    • 1996
  • This paper presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. Robotic manipulators have bevome increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking arre indispensable capabilities for their versatile application. the need to meet demanding control requirement in increasingly complex dynamical control systems under sygnificant uncertainties leads toward design of implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme the ntworks intrduced are neural nets with dynamic neurouns whose dynamics are distributed over all the network nodes. The nets are trained by the distributed dynamic are distributed over all the network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure fast in computation and suitable for implementation of real-time control, Performance of the neural controller is illustrated by simulation and experimental results for a SCAEA robot.

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