• Journal of Bio-Environment Control
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• v.10 no.1
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• pp.42-49
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• 2001

This study was carried out to develop a fuzzy control technique of ventilation window for controlling a temperature in a greenhouse. To reduce the fuzzy variables, the inside air temperature shop was taken as one of fuzzy variables, because the inside air temperature variation of a greenhouse by ventilation at the same window aperture is affected by difference between inside and outside air temperature, outside wind speed and the wind direction. Therefore, the antecedent variables for fuzzy algorithm were used the control error and its slop, which was same value as the inside air temperature slop during the control period, and the conclusion variable was used the window aperture opening rate. Through the basic and applicative control experiment with the control period of 3 minutes the optimum ranges of fuzzy variables were decided. The control error and its slop were taken as 3 and 1.5 times compared with target error in steady state, and the window opening rate were taken as 30% of full size of the window aperture. To evaluate the developed fuzzy algorithm in which the optimized 19 rules of fuzzy production were used, the performances of fuzzy control and PID control were compared. The temperature control errors by the fuzzy control and PID control were lower than 1.3$^{\circ}C$ and 2.2$^{\circ}C$ respectively. The accumulated operating size of the window, the number of operating and the number of inverse operating for the fuzzy control were 0.4 times, 0.5 times and 0.3 times of those compared with the PID control. Therefore, the fuzzy control can operating the window more smooth and reduce the operating energy by 1/2 times of PID control.

• Proceedings of the KIPE Conference
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• 2017.11a
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• pp.19-20
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• 2017

본 논문에서는 자성체 및 비자성체 용기 판별이 가능하고 워킹코일 온도 변화가 고려된 All Metal IH(Induction Heating) 제어 알고리즘을 설계한다. 용기 재질과 위치에 따른 파라미터를 분석하여 전력 Curve-fitting 모델링을 통해 용기 판별을 수행하고 비자성체 가열 시 급상하는 워킹코일 온도를 반영하여 변화하는 전력 제어 알고리즘을 보상한다. 설계된 All Metal IH 제어 알고리즘은 실험을 통해 검증한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2536-2543
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• 2013

In this paper, we proposed the modeling in one zone buildings and the energy efficient temperature control algorithm using particle swarm optimization (PSO). A control horizon switching method with PSO is used for optimal control, and the TOU tariff is included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be obtained using proposed algorithms.

• Proceedings of the KAIS Fall Conference
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• 2000.10a
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• pp.113-113
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• 2000

LPG 및 석유류는 온도에 따라서 유량의 변화가 LPG의 경우는 ±0.23%/℃, 무연은 ±0.11%/℃, 등유는 ±0.10%/℃, 경유의 경우는 ±0.09%/℃로 특히 LPG의 경우가 그 변화가 심하므로 정확한 충전량을 계량하는 것이 중요하다. 이는 공정거래 확립의 차원에서 공급자와 소비자 입장에서 반드시 요구되는 사항이다. 이를 위해 본 논문에서는 LPG 충전기의 충전제어 및 자동 온도 보정의 알고리즘을 개발하고 이를 프로그래밍한 후 온도센서와 16-bit 마이크로프로세서(intel 80C196)로 자동 온도 보정이 가능한 LPG 충전기의 충전제어 시스템을 설계 및 제작하였다. 설계 제작된 시스템은 프로세서부, I/O 입ㆍ출력부, VFD(vacuum fluorescent display) 디스플레이 구동부로 구성된다. 충전제어 동작은 LPG 유량계의 encoder로부터의 유량(유속)신호와 기차 보정값 및 15℃를 기준으로 한 온도 센서부의 온도 보정값을 입력받아 솔레노이드 밸브를 제어하여 충전을 제어하게 된다. 온도 보정은 80C196 프로세서의 내부 10-bit A/D 변환기를 사용하여 0.5℃ 분해능으로 온도제어를 할 수 있다. VFD 디스플레이는 유량, 금액, 단가가 표시되며 그 값을 누적시켜 일계, 월계를 알 수 있게 하였다. 그 외에 시스템 진단기능 및 컴퓨터통신, POS 통신이 가능하도록 하였다. 제작된 시스템을 LPG 충전기에 실장하여 시험한 결과 목표한 정확도로 유량이 제어됨을 알 수 있었다.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.87-92
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• 2005

This study showed the possibility of the medical treatment by thermal feedback as the laser medical treatment had given by design of the digital I/O interfaces of the electronic shutter to control the laser beam and the temperature controlled algorithm. The electronic shutter is economical and that is designed to be automatically controlled within the range of an extent temperature by such development of its driving interfaces and the controlled algorithm of the electronic shutter. The possibility of local therapy for the patients by the treatment of the laser beam within an extent temperature controlled, is proposed by improvement of the problems on the current treatment methods such as radiotherapy, high frequency treatment or medical therapy of drug stuffs which even kill the normal cells.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.02a
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• pp.389-394
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• 2002

1) HTST공정에 적합한 공정감시 및 제어알고리즘을 개발하였고, 일련의 모든 프로그램은 G언어의 일종인 Labview 5.1을 사용하였다. 프로그램상에는 온도, 압력, 유량을 표시하는 아날로그 및 디지털 창을 마련하여 장치내부의 상태를 쉽게 파악학 수 있도록 하였다. 2) 살균온도를 9$0^{\circ}C$로 설정하였을 때 온도제어 오차는 0.05$^{\circ}C$였으며 이것은 Negiz와 Cinar(1995)의 온도제어 오차 0.22$^{\circ}C$보다 정밀한 제어가 이루어짐을 알 수 있었다. 3), 운전중 원료의 과살균을 방지하지 하기 위해 각 각의 경우에 스팀온도를 제어하였고 목표온도까지 가열하기 위한 각 유량과 초기온도별 스팀온도를 구하였다. 4) 본 연구의 이 후 과제로는 유량의 변화에 따른 홀딩튜브의 길이와 살균시간의 상관관계를 규명하여 실제 HTST공정에 적용될 수 있는 수학적 모델링을 구현해야 할 것으로 생각된다.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.157-161
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• 2004

This study proposed the possibility of the medical cure by thermal feedback as the laser medical treatment had given and by the development of digital I/O interfaces of the electronic shutter to control the laser beam and of the temperature controlled algorithm. The development of the electronic shutter driving such interfaces and its controlled algorithm was designed to be automatically controlled within the range of an extent temperture.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.12
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• pp.10-22
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• 2009

This paper presents an LED lighting system with an LED color control algorithm that can independently change its color temperature and illuminance. To show the validity of the proposed algorithm, it is proven that its solution always exists. The proposed algorithm was applied to the control of an LED module that is composed of red, green, blue, and white (RGBW) LEDs. Its color temperature variation ranged from 3,500~7,500[$^{\circ}K$], and its illuminance ranges from 500~1,500[lux]. Within these range, the color temperature and illuminance deviations are as low as $\pm0.8$[%] when the junction temperature of LEDs are maintained at 40[$^{\circ}C$]. In the range of 30~70[$^{\circ}C$], the measured illuminance and color temperature deviations are as low as 2.1[%] and 3.6[%], and the compensated ones are as low as 1[%] and 0.49[%], when the desired illuminance and color temperature are 1,000[lux] and 6,500[$^{\circ}K$], respectively.nyang.ac.kr).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.270-273
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• 2017

Productivity through reduced defects in plastic injection molding and reduced cycle times is a long-standing need in the injection industry. In particular, productivity is very urgent for the domestic injection industry, which is caught between the pursuit of latecomers such as China and technological gap with Germany and Japan which will not be narrowed down. Through 30 years of research and experience in the domestic injection industry, we have found that controlling the surface temperature of injection molds is the key of quality control. There have been various attempts to utilize advanced control techniques such as PID control, but the productivity against leading companies in Germany and Japan is still insufficient. Using Approximation Algorithm - "Knapsack" and "Minimum Makespan Scheduling", We want to show how to efficiently control objects with periodic repetitive data patterns that are difficult to solve with PID control. In addition, We want to propose that the control by Approximation Algorithm is effective enough to improve the productivity of the product by analyzing the data extracted from actual injection site.

• Journal of agriculture & life science
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• v.44 no.4
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• pp.69-77
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• 2010

Fuzzy control is widely used for improving temperature control performance as controlling ventilation in greenhouse because the technique can respond more flexibly to the outside air temperature and wind speed. By pre-studied PID and normal fuzzy control this study was performed to obtain the fundamental data that can be established in better greenhouse ventilation control method. The temperature control error by the simple fuzzy control was $1.2^{\circ}C$. The accumulated operating size of the window and the number of operating were 84% and 13, respectively. These showed equivalent control performance with pre-studied result that control error. The accumulated operating size of the window and the number of operating were 75% and 12, respectively. The proposed fuzzy technique was simple control logic method compared with step and PID control methods, but it showed equivalent performance. Therefore, the proposed simple fuzzy control method could be used in micro controller of small programmable memory size and many applications.