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폐루프 광섬유자이로스코프의 전기적 교차결합에 의한 불감응 영역 오차 분석
정경호(Kyoung Ho Chong),정길도(Kil To Chong) 제어로봇시스템학회 2014 제어·로봇·시스템학회 논문지 Vol.20 No.4
Due to electrical cross-coupling between modulation voltage and photodetector output in a closed-loop fiber optic gyro, deadzone inevitably occurs. In this paper, deadzone error by cross-coupling effect was analyzed and the overcoming method was suggested. Simulation and measurement results show the main reason for deadzone is mainly related to electrical cross-coupling, and it can be effectively reduced by square-wave dithering method.
Q-learning for intersection traffic flow Control based on agents
주선(ZhouXuan),정길도(Kil To Chong) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.5
In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of multi-agent technology. The structure is composed of sixphase agents and one intersection agent. Wireless communication network provides the possibility of the cooperation of agents. As one kind of reinforcement learning, Q-learning is adopted as the algorithm of the control mechanism, which can acquire optical control strategies from delayed reward; furthermore, we adopt dynamic learning method instead of static method, which is more practical. Simulation result indicates that it is more effective than traditional signal system.
김동원,한병성,정길도,김용준,김명순,임태영,채석,Kim, Dong-Won,Han, Byung-Sung,Chong, Kil-To,Kim, Yong-Jun,Kim, Myoung-Soon,Lim, Tae-Yeong,Chae, Seok 대한산업공학회 1998 산업공학 Vol.11 No.3
The agriculture and fishery share in the Korean GDP is continuously decreasing after 1960s. Furthermore the proportion of these industries in the GDP has diminished as low as 10 percent in recent years. However, the stockbreeding sector in these industries are considerably expanded. More than 50 percent of the whole farmhouses are involved in the livestock farming, and the stock farming portion is steadily increased in its size and scope. Thus, the mechanization and the automization of stockbreeding equipments are greatly required to reduce down production cost, as well as to win the competitiveness in the global market. From this aspect, developed in this paper is a stockbreeding management system (SMS) for dairy cattle, which can be used in small and medium sized dairy farms. First, the basic schema of the stockbreeding management system are addressed in view of stockbreeding management for individual dairy cattle. Electronic identification (EI) systems and sensory devices have changed stockbreeding management strategy from group stock control into individual stock control manner. The SMS receives stock body measurement data through the sensory devices such as weight, temperature, and milk conductivity meters. A common database then integrates those measuring data together so that the SMS can determine the appropriate solution on each stock's breeding such as feeding and milking. Thus, each stock can be supervised by a sophisticated SMS that provides the best solution to the stockbreeding throughout the stock's whole life-cycle. Secondly. six major submodules of the SMS, based on the EI and sensory devices, are proposed. They are individual stock management, disease management, health management, feeding management, milking management, and a propagation management submodule. Finally, a prototype system for the SMS is demonstrated. The system is developed using Delphi 2 client-server system run under the Windows 95 environment.
신경 회로망 예측 모델을 이용한 실시간 멀티미디어 데이터 전송률 제어
김용석,권방현,정길도,Kim, Yong-Seok,Kwon, Bang-Hyun,Chong, Kil-To 한국통신학회 2005 韓國通信學會論文誌 Vol.30 No.2B
본 논문에서는 멀티미디어 전송 시 QoS(Quality of Service)를 개선하기 위한 유효패킷 전송률을 향상 시키는 방법으로 신경회로망을 이용한 예측 알고리즘을 제안하였다. 신경회로망 모델을 이용하여 왕복지연시간과 패킷손실률을 예측하고 예측된 인자를 이용하여 데이터 전송률을 결정하는 방법이다. 제안한 방법은 과거의 데이터를 기준으로 전송률을 결정하여 전송하는 데이터의 양을 제어하는 기존의 방법보다 향상된 성능을 확보할 수 있게 된다. 제안한 방법의 성능을 확인하기 위하여 실 시스템에 적용하는 실험을 실시하였다. 리눅스 운영 PC를 사용하였으며, UDP 프로토콜을 이용하여 실시간 데이터를 전송하는 실험 장치를 구현하였다. 제안한 방법의 유효패킷 전송률이 기존의 TCP-Friendly 혼잡제어 방법에 비하여 5% 정도 향상된 성능을 보였다. This paper proposes a neural network prediction model to improve the valid packet transmission rate for the QoS(Quality of Service) of multimedia transmission. The Round Trip Time(RTT) and Packet Loss Rate(PLR) are predicted using a neural network and then the transmission rate is decided based on the predicted RTT and the PLR. The suggested method will improve the transmission rate since it uses the rate control factors corresponding to time of data is being transmitted, while the conventional one uses the transmission rate determined based on the past informations. An experimental set-up has been established using a Linux PC system, and the multimedia data are transmitted using UDP protocol in real time. The valid transmitted packets are about 5% higher than the one in the conventional TCP-Friendly congestion control method when the suggested algorithm was applied.
Impact of Kalman Filtering in Battery Management Systems
Nashatar Singha,Kil To Chong(정길도) 제어로봇시스템학회 2014 제어로봇시스템학회 각 지부별 자료집 Vol.2014 No.12
This paper analyzes the stability of a battery management system (BMS) in hybrid electrical vehicles. The purpose of the BMS is to guarantee safe and reliable battery operation. It is shown that the internal resistance and internal voltage of the battery affect system stability. Variations in these parameters may occur due to aging. Using average-value modeling, this problem is framed into a nonlinear system formulation and the region of stability as a function of the internal resistance and the internal voltage of the battery is determined. This paper also extends its results in determining the configuration of a battery pack in terms of the number of battery cells in series and parallel to prevent instability while meeting demand power requirements. The findings are useful both in the design and operation stages of large-scale battery storage systems in the grid. To maintain this purpose, state monitoring and evaluation, state of charge (SoC), state of health (SoH), remaining useful life (RUL) and cell balancing are functionalities that have been implemented in BMS. The uncertainty of a battery’s performance poses a challenge to the implementation of these functions. Through reviewing the latest methodologies for the state evaluation of batteries, the future challenges for BMSs are presented and possible solutions are proposed as well.