• Title/Summary/Keyword: 분산 적응 제어

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Droop Method For Parallel Inverters In High-Capacity Islanded Microgrid Using Virtual Inductance (대용량 마이크로그리드 독립 운전 모드시 가상 인덕터를 활용한 인버터 병렬운전 제어 연구)

  • Jung, Kyosun;Kim, Donghwan;choi, Jaeho
    • Proceedings of the KIPE Conference
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    • 2014.07a
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    • pp.459-460
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    • 2014
  • 여러 가지 분산 발전 시스템들은 마이크로그리드의 형태를 지니고 있다. 하나의 분산 발전 시스템과 비교하여 마이크로 그리드는 더 좋은 시스템 신뢰성과 제어 적응성을 가지고 있다. 이 마이크로그리드는 계통연계모드에서 부하의 수요를 담당하게 되고, 계통 사고가 발생할 시 단독운전모드로 동작을 해야 한다. 드룹제어방식은 이 때 각각의 분산발전시스템에서의 유효전력과 무효전력 부하 sharing을 통해 안정적으로 전력을 공급 할 수 있다. 본 논문에서는 드룹제어를 활용한 100KW급 대용량 인버터 병렬 운전 시스템을 제안하였다. 그리고 P-Q decoupling을 위한 가상 인덕터를 이용하여 개선된 전력 sharing에 대해 연구하고 PSIM을 통해 이를 검증하였다.

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IEEE 802.11 기반 Ad Hoc Wireless LAN에서의 실시간 통합 서비스를 위한 분산 MAC 프로토콜의 설계 및 분석

  • 김원수;강충구
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.11B
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    • pp.985-998
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    • 2003
  • 본 논문에서는 IEEE 802.11 규격을 기반으로 다중 홉 Ad Hoc 모드에서 비 실시간 및 실시간 트래픽에 대한 통합 서비스를 지원하는 Wireless LAN을 구성할 때, 분산 방식으로 실시간 서비스의 우선권을 고려한 채널 액세스의 차별화를 제공할 수 있는 매체접근제어(Medium Access Control: MAC) 프로토콜의 구현 방안을 제안한다. 이를 위해 실시간과 비 실시간 트래픽의 Contention Window (CW)를 서로 분리하며, 실시간 서비스의 지연 바운드에 따라 정해진 잔여 수명(residual time)을 우선권 설정에 반영함으로써 실시간 트래픽의 지연 요구 사항을 보장할 수 있도록 한다. 또한 실시간 트래픽의 부하에 따라서 적응적으로 offset 값을 조정함으로써 offset에 의해 발생될 수 있는 수율의 저하를 최소화한다. 제안된 방식은 기존 IEEE 802.11 MAC 규격의DCF (Distributed Coordination function) 방식을 그대로 사용하면서 CSMA/CA 기반의 경쟁 방식을 통해서도 비 실시간 트래픽과의 차별화가 가능하고, 또한 잔여 수명 시간을 고려한 동적인 우선권 할당이 가능하도록 하였다. 시뮬레이션에 의한 분석 결과에 따르면 기존 DCF와 비교할 때 실시간 단말의 용량을 2배까지 향상시킬 수 있으며, 트래픽 부하에 따라 적응적 제어를 통해 추가적인 성능 개선 효과를 확인하였다.

IEEE 802.11 기반 Ad Hoc Wireless LAN에서의 실시간 통합 서비스를 위한 분산 MAC 프로토콜의 설계 및 분석

  • 김원수;강충구
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.10B
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    • pp.862-875
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    • 2003
  • 본 논문에서는 IEEE 802.11 규격을 기반으로 다중 홉 Ad Hoc 모드에서 비실시간 및 실시간 트래픽에 대한 통합 서비스를 지원하는 Wireless LAN을 구성할 때, 분산 방식으로 실시간 서비스의 우선권을 고려한 채널 액세스의 차별화를 제공할 수 있는 매체접근제어(Medium Access Control: MAC) 프로토콜의 구현 방안을 제안한다. 이를 위해 실시간과 비실시간 트래픽의 Contention Window (CW)를 서로 분리하며, 실시간 서비스의 지연 바운드에 따라 정해진 잔여 수명(residual time)을 우선권 설정에 반영함으로써 실시간 트래픽의 지연 요구 사항을 보장할 수 있도록 한다. 또한 실시간 트래픽의 부하에 따라서 적응적으로 offset 값을 조정함으로써 offset에 의해 발생될 수 있는 수율의 저하를 최소화한다. 제안된 방식은 기존 IEEE 802.11 MAC 규격의DCF (Distributed Coordination Function) 방식을 그대로 사용하면서 CSMA/CA 기반의 경쟁 방식을 통해서도 비실시간 트래픽과의 차별화가 가능하고, 또한 잔여 수명 시간을 고려한 동적인 우선권 할당이 가능하도록 하였다. 시뮬레이션에 의한 분석 결과에 따르면 기존 DCF와 비교할 때 실시간 단말의 용량을 2배까지 향상시킬 수 있으며, 트래픽 부하에 따라 적응적 제어를 통해 추가적인 성능 개선 효과를 확인하였다.

A Design of Robust Adaptive Servo Controller in the Presence of Bounded Parameter Perturbation (파라메터 섭동과 외란이 존재하는 강건한 적응서보 제어기의 설계)

  • 홍선학;임화영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.7
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    • pp.1009-1017
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    • 1993
  • The Robust Adaptive Servo Controller in this paper has an error-corrected and robust structure which guarantees asymptotic regulation and tracking in the presence of bounded parameter perturbations. The adaptive mechanism tunes the controller parameters such that a quadratic performance index is minimized. Through the speed and position control of the DC servo model with computer simulations, the minimum variance controller parameters are robust with respect to finite parameter perturbation and bounded disturbance.

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Electroluminescence(EL)와 그의 응용

  • 이성오
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.5 no.4
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    • pp.15-20
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    • 1991
  • The paper considers a distributed adaptive control technique for industrial robots which contribute to the factory automation. The control object is to tracking for a desired trajectories under various load conditions., rapidly against load variation these control techniques divided whole system into subsystems which is controlled with the nominal and adaptation controllers, and also the asymptotic stability of these substem was proved. Simulation results shown that the proposed techniques was feasible in spite of nonlinear dynamics of robot manipulator and payload variations.

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Kriging Surrogate Model-based Design Optimization of Vehicle and Adaptive Cruise Control Parameters Considering Fuel Efficiency (연비를 고려한 차량 및 적응형 순항 제어 파라미터의 크리깅 대체모델 기반 최적설계)

  • Kim, Hansu;Song, Yuho;Lee, Seungha;Huh, Kunsoo;Lee, Tae Hee
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.9
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    • pp.817-823
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    • 2017
  • In the past, research has been conducted on the development of an adaptive cruise control algorithm considering fuel efficiency, and an adaptive cruise control system considering fuel efficiency have been developed. However, research on optimizing vehicle and adaptive cruise control parameters in order to maximize performances is insufficient. In this study, the design optimization of vehicle and control parameters considering fuel efficiency, trackability, ride comfort and safe distance is performed. This paper proposes performance measures of vehicle behavior and develops an adaptive cruise control system. In addition, based on the screening of vehicle parameters that significantly influence performances, kriging surrogate models are constructed through a sequential design of experiment, and kriging surrogate model-based design optimization is performed to maximize fuel efficiency and satisfy target performances.

Design and Implementation of Distributed QoS Management Architecture for Real-time Negotiation and Adaptation Control on CORBA Environments (CORBA 환경에서 실시간 협약 및 작응 제어를 위한 분사 QoS 관리 구조의 설계 및 구현)

  • Lee, Won-Jung;Shin, Chang-Sun;Jeong, Chang-Won;Joo, Su-Chong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.1C
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    • pp.21-35
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    • 2002
  • Nowadays, in accordance with increasing expectations of multimedia stream service on the internet, a lot of distributed applications are being required and developed. But the models of the existing systems have the problems that cannot support the extensibility and the reusability, when the QoS relating functions are being developed as an integrated modules which are suited on the centralized controlled specific-purpose application services. To cope with these problems, it is suggested in this paper to a distributed QoS management system on CORBA, an object-oriented middleware compliance. This systems we suggested can provides not only for efficient control of resources, various service QoS, and QoS control functions as the existing functions, but also QoS control real-time negotiation and dynamic adaptation in addition. This system consists of QoS Control Management Module(QoS CMM) in client side and QoS Management Module(QoS MM) in server side, respectively. These distributed modules are interfacing with each other via CORBA on different systems for distributed QoS management while serving distributed streaming applications. In phase of design of our system, we use UML(Unified Modeling Language) for designing each component in modules, their method calls and various detailed functions for controlling QoS of stream services. For implementation of our system, we used OrbixWeb 3.1c following CORBA specification on Solaris 2.5/2.7, Java language, Java Media Framework API 2.0 beta2, Mini-SQL 1.0.16 and the multimedia equipments, such as SunVideoPlus/Sun Video capture board and Sun Camera. Finally, we showed a numerical data controlled by real-time negotiation and adaptation procedures based on QoS map information to GUIs on client and server dynamically, while our distributed QoS management system is executing a given streaming service.

A Study on the Characteristics Improvement of Fluid Power Actuator Using Adaptive Control (적응제어를 이용한 유압 액츄에이터의 특성개선에 관한 연구)

  • 염만오;윤일로
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.1
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    • pp.124-132
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    • 2004
  • A hydraulic system is difficult to keep the performance due to non-linearity, load pressure which changes according to working condition and system parameter variation, the requirement of control algorithm has been risen in order to satisfy them. An adaptive control is a control method which is suggested to achieve a control object though plant characteristics change. In spite of the case that plant characteristics and the degree of variation are difficult to grasp, adaptive control can keep the characteristics of closed-loop system regularly. In this study GMVAC(generalized minimum variance adaptive control) combined with output error feedback is proposed in order to solve problems of non-minimum phase, vibration and overshoot in initial response of the plant. The control performance according to the variation of characteristics of the plant is evaluated by changing the supply pressure only.

Adaptive Median Filter by Local Central Variance (로컬 중간값 분산을 이용한 적응형 메디안 필터)

  • Cho Woo-Yeon;Choi Doo-Il
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.2
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    • pp.104-115
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    • 2005
  • Median filters in the signal processing have been most widely used and have demonstrated the strongest effects. This paper proposes the adaptive median filters with noise detection. The proposed basic algorithm of the filters is to judge whether or not the noises exist on the ground of The Noise Judgment Standards. Just in case the existence of the noises is verified by the algorithm, it takes the median filter. In order to judge the existence of the noises by the algorithm, this paper introduced the noise detection method by local central variance. As a result of comparing and analyzing the features and performance of the proposed filters and the existing [5]-[10] filters on the same conditions, it was verified that the former proved to be better than the latter, Observed even by naked eyes, it was similar, too. Accordingly, it's proved that the adaptive median filters by local central variance are useful in removing the impulse noise of the median filter and reinforce the edge preservation ability.

Deep Reinforcement Learning-Based C-V2X Distributed Congestion Control for Real-Time Vehicle Density Response (실시간 차량 밀도에 대응하는 심층강화학습 기반 C-V2X 분산혼잡제어)

  • Byeong Cheol Jeon;Woo Yoel Yang;Han-Shin Jo
    • Journal of IKEEE
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    • v.27 no.4
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    • pp.379-385
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    • 2023
  • Distributed congestion control (DCC) is a technology that mitigates channel congestion and improves communication performance in high-density vehicular networks. Traditional DCC techniques operate to reduce channel congestion without considering quality of service (QoS) requirements. Such design of DCC algorithms can lead to excessive DCC actions, potentially degrading other aspects of QoS. To address this issue, we propose a deep reinforcement learning-based QoS-adaptive DCC algorithm. The simulation was conducted using a quasi-real environment simulator, generating dynamic vehicular densities for evaluation. The simulation results indicate that our proposed DCC algorithm achieves results closer to the targeted QoS compared to existing DCC algorithms.