• 전력전자학회논문지
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• 제3권4호
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• pp.330-337
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• 1998

히스테리시스 제어를 사용하는 Buck 컨버터의 평균모델을 위한 Duty Cycle 모델이 수학적으로 구해진다. 이 모델은 시간영역에서 연속 전도 모드와 불연속 전도 모드 모두를 동시에 시물레이션할 수 있다. 또한, SABER의 MAST언어를 이용하여, 제안된 모델의 템플릿이 제시되며, 이 템플릿은 시간영역이나 주파수 영역의 해석을 위해 사용되어질 수 있다. 이 템플릿의 정확성을 컴퓨터 시뮬레이션을 통하여 증명한다.

• 대한전기학회논문지:전력기술부문A
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• 제55권10호
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• pp.399-409
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• 2006

This paper presents a novel method for satisfying the thermal comfort of indoor environment and reducing the summer peak demand power by minimizing the power consumption for an Air-conditioner within a space. Korea Electric Power Corporation (KEPCO) use the fixed duty cycle control method regardless of the indoor thermal environment. However, this method has disadvantages that energy saving depends on the set-point value of the Air-Conditioner and direct load control (DLC) has no net effects on Air-conditioners if the appliance has a lower operating cycle than the fixed duty cycle. In this paper, the variable duty cycle control method is proposed in order to compensate the weakness of conventional fixed duty cycle control method and improve the satisfaction of residents and the reduction of peak demand. The proposed method estimates the predict mean vote (PMV) at the next step with predicted temperature and humidity using the back propagation neural network model. It is possible to reduce the energy consumption by maintaining the Air-conditioner's OFF state when the PMV lies in the thermal comfort range. To verify the effectiveness of the proposed variable duty cycle control method, the case study is performed using the historical data on Sep. 7th, 2001 acquired at a classroom in Seoul and the obtained results are compared with the fixed duty cycle control method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1849-1876
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• 2022

Wireless Sensor Network (WSN) is considered as an integral part of the Internet of Things (IoT) for collecting real-time data from the site having many applications in industry 4.0 and smart cities. The task of nodes is to sense the environment and send the relevant information over the internet. Though this task seems very straightforward but it is vulnerable to certain issues like energy consumption, delay, throughput, etc. To efficiently address these issues, this work develops a cross-layer model for the optimization between MAC and the Network layer of the OSI model for WSN. A high value of duty cycle for nodes is selected to control the delay and further enhances data transmission reliability. A node measurement prediction system based on the Kalman filter has been introduced, which uses the constraint based on covariance value to decide the scheduling scheme of the nodes. The concept of duty cycle for node scheduling is employed with a greedy data forwarding scheme. The proposed Duty Cycle-based Greedy Routing (DCGR) scheme aims to minimize the hop count, thereby mitigating the energy consumption rate. The proposed algorithm is tested using a real-world wastewater treatment dataset. The proposed method marks an 87.5% increase in the energy efficiency and reduction in the network latency by 61% when validated with other similar pre-existing schemes.

• 한국신뢰성학회지:신뢰성응용연구
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• 제11권4호
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• pp.433-445
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• 2011

Duty cycle is determined as the ratio of operating time to total time. Duty cycle in reliability prediction is one of the significant factors to be considered. In duty cycle application, non-operating time failure rate has been easily ignored even though the failure rate in non-operating period has not been proved to be small enough. Ignorance of non-operating time failure rate can result in over-estimated system reliability calculation. Furthermore, utilization of duty cycle in reliability prediction has not been evaluated in its effectiveness. In order to address these problems, two reliability models, such as MIL-HDBK-217F and RIAC-HDBK-217Plus, were used to analyze non-operating time failure rate. This research has proved that applying duty cycle in 217F model is not reasonable by the quantitative comparison and analysis.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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• pp.145-147
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• 2005

This paper presents a methodology for satisfying the thermal comfort of Indoor environment and reducing the summer peak demand power by minimizing the power consumption for an Air-conditioner within a space. KEPCO(Korea Electric Power Corporation) use the fixed duty cycle control method regardless of the indoor thermal environment. This method has disadvantages that energy saying depends on the set-point value of the Air-Conditioner and DLC has no net effects on Air-conditioners if the appliance has a lower operating cycle than the fixed duty cycle. A variable duty cycle estimates the PMV(Predict Mean Vote) at the next step with a predicted temperature and humidity coming from the back propagation neural network model. It is possible to reduce the energy consumption by maintaining the Air-conditioner's OFF state when the PMV lies in the thermal comfort range. The proposed methodology uses the historical real data of Sep. 7th, 2001 from a classroom in seoul to verify the effectiveness of the variable duty cycle method comparing with fixed duty cycle. The result shows that the variable duty cycle reduces the peak demand to 2.6times more than fixed duty cycle and increases the load control ratio by 8% more. Based on the variable duty cycle control algorithm, the effectiveness of DLC is much more improved as compared with the fixed duty cycle.

• JSTS:Journal of Semiconductor Technology and Science
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• 제13권2호
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• pp.139-144
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• 2013

Negative bias temperature instability (NBTI) has become a major factor determining circuit reliability. The effect of the NBTI on the circuit performance depends on the duty cycle which represents the stress and recovery conditions of each device in a circuit. In this paper, we propose an analytical model to perform more accurate duty cycle estimation at the gate-level. The proposed model allows accurate (average error rate: 3%) computation of the duty cycle without the need for expensive transistor-level simulations Furthermore, our model estimates the waveforms at each node, allowing various aging effects to be applied for a reliable gate-level circuit aging analysis framework.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권3호
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• pp.331-335
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• 2010

무선 센서 네트워크에서 중요한 이슈 중 하나는 배치되는 센서 노드들이 최대한 요래 지속되도록 전력 소비를 줄이는 것과, 네트워크를 시간 동기화 하는 것이다. 기존의 저 전력 시간 동기화 알고리즘은 취침모드에 대한 고려 없이 교환되는 패킷의 수를 줄이거나, 네트워크 토폴로지에 따라 다른 시간 동기화 방법을 사용하는 하이브라드 방법이 전부였다. 무선 센서 네트워크에서 효율적인 에너지 절약 방법은 노드의 취침을 통한 duty cycle의 감소이기 때문에, 본 논문에서는 노드의 취침을 통해 duty cycle을 줄일 수 있는 시간 동기화 알고리즘을 제안하였다. 알고리즘 제안 시, 실험을 통해 노드 구성요소의 특성을 파악하여 모델을 세운 후 접근하였다. 제안한 알고리즘의 성능 파악을 위해 네트워크에 요구되는 시간 동기화 정확도가 있을 때, 이를 만족시키기 위한 시간 동기화 주기 값을 구해보았으며, 노드 사이의 편차율을 구할 때 걸리는 시간을 확률적인 개념을 사용해 분석하여 보았다. 제안된 알고리즘을 $3{\times}3$ 격자(grid) 구조에서 구현해본 결과, duty cycle 5%, 시간동기 주기 10초일 때, 107.57 $\mu{s}$의 평균 시간동기 오차를, duty cycle 2.5%, 시간동기 주기 20초일때, 130 $\mu{s}$의 평균 시간동기 오차를 보여주었다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2019년도 전력전자학술대회
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• pp.317-319
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• 2019

In this paper, a three level duty cycle controlled half bridge LLC converter for EV charger application is presented. The topology and operating regions of the converter are discussed. The equations of the converter are derived in time domain. A small signal model of the converter is developed by perturbation and linearization of the steady state model about their operating point using Extended Describing function.

• 한국인터넷방송통신학회논문지
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• 제16권1호
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• pp.193-198
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• 2016

안전한 플랜트 설비의 상태 감시 및 장애 진단을 위해 무선 센서를 이용한 플랜트 설비용 모니터링 시스템이 연구되고 있다. 플랜트 설비에서는 저전력 뿐만 아니라 안전사고와 직결된 긴급 상황시 실시간성도 고려해야 한다. 본 논문에서는 플랜트 시설에서 지연시간 감소를 위한 동적 듀티사이클 조절 기법을 제안한다. 제안된 동적 듀티사이클 조절 기법은 센싱된 데이터 값의 긴급한 정도에 따라 미리 정의된 위험 그룹으로 구분하여 적응적으로 듀티사이클 주기를 조절한다. 실시간성을 평가하기 위해 고정 듀티사이클 기법과 동적 듀티사이클의 예상 지연시간을 확률적으로 분석하였다. 비교 결과, 플랜트 시설과 같이 이상 징후 발생 시 에너지를 소모하더라도 실시간성을 제공해야 하는 상황에서 제안 동적 듀티사이클 기법이 더 효과적임을 확인하였다.

• 전력전자학회논문지
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• 제19권5호
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• pp.415-421
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• 2014

This study proposes a model-based predictive control for interleaved multi-phase DC/DC converters. The power values necessary to adjust the output voltage in the succeeding are predicted using a converter model. The output power is controlled by selecting the optimal duty cycle. The proposed method does not require controller loops and modulators for converter switching. This method can control the converter by calculating the optimal duty cycle, which minimizes the error between the reference and actual output voltage. The effectiveness of the proposed method is verified through simulations and experiments.