• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.117-118
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• 2010

본 논문은 저온플라즈마를 이용한 탈황탈질 시스템에서 고압펄스압축을 위해 사용되는 자기스위치의 자동제어방법에 관한 것이다. 자기스위치를 부하변동에 따라 자동제어 함으로써 플라즈마 반응기에 전달되는 에너지의 전달효율을 최적화 시킬 수 있다.

• Journal of Energy Engineering
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• v.25 no.2
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• pp.79-85
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• 2016

This paper presents an advanced energy demand management for buildings. It is important to aggregate a various demand side resource which is controllable on demand response environment. Previous demand side algorithm for building is mostly restricted on single building. In this paper, we suggest energy demand management algorithm for many buildings. And, this paper shows the procedure to apply suggested demand management algorithm.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.5
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• pp.8-14
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• 2003

The daylight responsive dimming system, which uses daylight and automatically controls the light output of electric lighting according to the amount of 3.vailable daylight, is an energy saving system Successful performance relies on how photosensor signal can precisely represent workplace illuminance. However, it is not accurately identified due to the dynamic nature of the sun and the sky changed with respect to different seasons or time. The purpose of this research is to identify the correlation between workplace illuminance and photosensor signals, and propose an optimal location and spatial characteristics of the photosensor through experiments, which minimizes the above impacts and improve system performance.

• Korean Chemical Engineering Research
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• v.49 no.4
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• pp.491-497
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• 2011

In this work, we proposed the three different reactor systems for evaluating of synthetic natural gas(SNG) processes using the synthesis gas consisting of CO and $H_2$ and reactor systems to be considered are series adiabatic reaction system, series adiabatic reaction system with the recirculation and cooling wall type reaction system. The maximum temperature of the first adiabatic reactor in series adiabatic reaction system raised to 800. From the these results, carbon dioxide in product gas as compared to other systems was increased more than that expected due to water gas shift reaction(WGSR) and the maximum $CH_4$ concentration in SNG was 90.1%. In series adiabatic reaction system with the recirculation as a way to decrease the temperature in catalyst bed, the maximum $CH_4$ concentration in SNG was 96.3%. In cooling wall type reaction system, the reaction heat is absorbed by boiling water in the shell and the reaction temperature is controlled by controlling the amount of flow rate and pressure of feed water. The maximum $CH_4$ concentration in SNG for cooling wall type reaction system was 97.9%. The main advantage of the cooling wall type reaction system over adiabatic systems is that potentially it can be achieve almost complete methanation in one reactor.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.36 no.1
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• pp.54-59
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• 2000

This paper presents a control system that uses a fuzzy algorithm in controlling the depth of a model midwater trawl net, and experimental results carried out in the circulating water channel by using a model trawl winch system.The fuzzy controller calculates the length of the warp to be changed, based on the depth error between the desired depth and actual depth of the model trawl net and the ratio of change in the depth error. The error and the error change are calculated every sampling time. Then the control input, i.e. desirable length of the warp, is determined by inference from the linguistic control rules which an experienced captain or navigator uses in controlling the depth of the trawl winch controller and the length of the warp is changed. Two kinds of fuzzy control rules were tested, one was obtained from the actual operations used by a skilled skipper or navigator, and the other was a modified from the former by considering the hydrodynamic characteristics of the model trawl system.Two kinds of fuzzy control were tested, one was obtained fro the actual operations used by a skilled skipper or navigator, and the other was a modified from the former by considering the hydrodynamic characteristics of the model trawl system.The results of these model experiments indicate that the proposed fuzzy controllers rapidly follow the desired depth without steady-state error although the desired depth was given in one step, and show robustness properties against changes in the parameters such as the change of the towing sped. Especially, a modified rule shows smaller depth fluctuations and faster setting times than those obtained by a field oriented rule.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.5
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• pp.419-424
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• 2006

In this study, a thermal control system which applied a Peltier device for the polymerase chain reaction(PCR) machine is to be designed. Here in order for it to easily follow the characteristics of the thermal cycle existing for gene amplification of the PCR sample, a PCR control board utilizing a thermal sensor, a Peltier, and a 8 bit microprocessor is made up. Especially a fuzzy type PD control algorithm is applied periodically in time response, and control system is implemented. For that matter, the characteristic data of subject system is obtained and analysed to begin with. Based on this analysed data, the proposed control algorithm is applied and an evaluation of the performance of the whole system take place through the PC.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.277-278
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• 2015

해당 연구 시스템은 신재생에너지, 에너지저장장치를 연계하여 수용가의 전력소모기기를 효율적으로 제어할 수 있는 에너지 네트워크 고효율 시스템 기술로 수요반응 또는 사용자 설정에 따른 제어신호 생성 및 전달, 전력소모기기 사용량 분석을 통한 에너지 사용분석, ESS와 신재생에너지 투입에 대한 제어 및 분석, ESS, 신재생에너지, 에너지게이트웨이, 전력소모기기 간 분석을 통한 Load Balancing 기능을 제공하고자 한다. 현재는 연구단계로 설계 및 연계 통신은 완료상태이며, 주요 알고리즘 적용을 진행 중에 있다.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1000-1003
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• 1996

Nonlinear unified predictive control(UPC) algorithm was applied to the temperature control of a batch polymerization reactor for polymethylmethacrylate(PMMA). Before the polymerization reaction is initiated, the parameters of the process model are determined by the recursive least squares(RLS) method. During the reaction, nonlinearities due to generation of heat of reaction and variation of heat transfer coefficients are predicted through the nonlinear model developed. These nonlinearities are added to the process output from the linear process model. And then, the predicted process output is used to calculate the control output sequence. The performance of nonlinear control algorithm was verified by simulation and compared with that of the linear unified predictive control algorithm. In the experiment of a batch PMMA polymerization, nonlinear unified predictive control was implemented to regulate the temperature of the reactor, and the validity of the nonlinear model was verified through the experimental results. The performance of the nonlinear controller turned out to be superior to that of the linear controller for tracking abrupt changes in setpoint.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.275-278
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• 2003

본 연구에서는 축산폐수공공처리장내에 설치된 Pilot-scale SBR(유효부피,20㎥)를 이용하여 sub-cycle의 폭기/무산소구간을 최적화하기 위하여 DO를 입력으로 하여 넓은 운전조건에서 적용될 수 있는 퍼지제어기를 개발하고, 또한 부하이상을 신속히 진단하여 유입부하량을 제어할 수 있는 퍼지 시스템 제어기를 개발하였다. DO값을 입력으로 한 퍼지제어기로서 안정성과 연속성에서 우수하였으나 시스템에 따라서 소속함수의 범위를 재조정해야 할 필요가 있다. DO미분값은 변화폭이 큰 지점을 검출함으로써 지연시간(lag time)의 DO값에 관계없이 적용할 수 있는 장점이 있다. 제어기의 적용성과 안정성을 높이기 위해서는 두 가지 제어인자를 동시에 고려할 필요가 있으며 퍼지 소속함수에 대한 입력으로서 DO값과 DO미분값을 적용하였다. 그 결과 폭기구간에서 매우 안정적이고 신속하게 폭기제어지점의 검출을 보여주고 있어 최적화된 제어가 가능함을 보여준다. 현장실험결과 지연시간에서의 DO가 높고 외란이 심한 경우에도 적용될 수 있음을 보여주었다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.195-202
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• 2020

The control system for the efficiency of resource utilization in sensor network environment based on object detection and environmental sensor requires active control function which based on sensor data acquisition and transmission functions and server's data analysis. Using active rule-based mobile agent middleware, this paper proposes a new distributed control framework that reduces the load of central sensor data server in sensor network environment by implementing remote data sensing and Zigbee-based communication with server and data analysis method of server. In addition, we implemented a power-saving system prototype using active rule-based distributed control methods that applied consumer's demand and environmental variables, and verified the validity of the proposed system through experiments and evaluations in the mobile agent middleware environment. The proposed system is a system framework that can efficiently autonomously control distributed objects in the sensor network environment, and it can be applied effectively to the development of demand response service based on optimal power control for the smart power system in the future.