• 조명전기설비학회논문지
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• 제13권4호
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• pp.47-55
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• 1999

본 논문에서는 반복적 방법을 이용하여 열교환기 시스템의 온도제어를 위한 제어기를 구성하였다. 쌍선형 시스템으로 표현되는 열교환기 시스템에 대하여 최적이론을 적용하기 위하여 반복적 방법이 가능하도록 시스템을 구성하였으며, 상태궤환 제어기의 설계를 위하여 이 시스템의 상태인 증기온도를 추정하기 위한 확장 칼만 필터를 제시하였다. 또한 설계된 제어기를 화력발전소의 과열기 시스템의 온도제어에 적용하였고, 컴퓨터 시뮬레이션을 통하여 추정값이 외부입력의 변동 하에서 상태값에 적절하게 추종됨을 확인하였으며, 출구의 증기온도가 이러한 외부입력의 변동 하에서 주어진 목표치고 추종함을 보였다.

• 한국산학기술학회논문지
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• 제18권2호
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• pp.235-242
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• 2017

능동 파괴 방호 구동제어기는 기계, 항공 및 군사 분야 등에서 사용될 수 있는 제어기로서, 상대의 비행물체를 능동제어를 통해 추적 타격하는데 사용된다. 구동제어기를 이용하여 목표지점까지의 정밀도를 갖고 동작이 유지되어야 하기 때문에, 이에 대한 신뢰성 확보가 대단히 중요하다. 이러한 구동제어기가 사용되는 주위 환경의 온도는 약 $-32^{\circ}C{\sim}50^{\circ}C$($241^{\circ}K{\sim}358^{\circ}K$)이다. 신뢰성을 갖기 위해 구동제어기에서 중요시 간주되는 문제 중의 하나는 구동제어기 내의 열 발생이 어느 한계수준($85^{\circ}C$($358^{\circ}K$))이하로 유지되어야 정밀도와 신뢰성을 확보할 수 있다는 점이다. 따라서 구동제어기 내의 열 유동특성에 대한 연구와 분석이 필요하게 된다. 본 논문의 수치시뮬레이션을 위해 저 레이놀드 수 $k-{\epsilon}$ 난류모델과 비압축성 점성 유동을 가정하였고, 상용 소프트웨어인 Solid-Works Flow Simulation을 사용하였다. 본 논문의 목적은 각종 칩이나 보드 등을 갖는 구동제어기 내부의 열 유동 특성을 해석하여 구동제어기의 안전한 설계를 하는데 있다. 해석으로부터, 보드들과 칩들의 온도분포가 어떤 한계 수준 이내에 있음을 보여준다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.378-384
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• 1993

In this paper, an intelligent adaptive controller is proposed for the process with unmodelled dynamics. The intelligent adaptive controller consists of the numeric adaptive controller and the intelligent tuning part. The continuous scheme is used for the numeric adaptive controller to avoid the problems occurred in the discrete time schemes. The adaptive controller is adopted to the process with time delay. It is an implicit adaptive algorithm based on GMV using the emulator. The tuning part changes the design parameters in the control algorithm. It is a multilayer neural network trained by robustness analysis data. The proposed method can improve the robustness of the adaptive control system because the design parameters are tuned according to the operating points of the process. Through the simulation, robustnesses are shown for intelligent adaptive controller. Finally, the proposed algorithms are implemented on the electric furnace temperature control system. The effectiveness of the proposed algorithm is shown from experiments.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.493-496
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• 2000

In this paper, an adaptive neuro-fuzzy controller using the conditional fuzzy c-means(CFCM) methods is proposed. Usually, the number of fuzzy rules exponentially increases by applying the grid partitioning of the input space, in conventional adaptive neuro-fuzzy inference system(ANFIS) approaches. In order to solve this problem, CFCM method is adopted to render the clusters which represent the given input and output data. Finally, we applied the proposed method to the water path temperature control system and obtained a better performance than previous works.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1999년도 추계학술대회 논문집
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• pp.247-253
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• 1999

In this paper predictive PID control system using neural network (NNPPID) is proposed to control temperature system. NNPPID is composed of neural network predictor forecasts the future output of plant based on the present input and output of plant. Neural self-tuner yields parameters of PID controller. Experiments prove that NNPPID temperature control system has better performance than conventional PID control.

• 전력전자학회논문지
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• 제20권2호
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• pp.105-114
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• 2015

Heated glasses are widely used to prevent surface condensation and freezing in ship and building windows. This study proposes a heated glass temperature control system composed of power and control circuits to control the temperature of heated glasses. The proposed temperature control system adopts a digital controller instead of a conventional analog controller. Thus, the proposed system has better characteristics, such as precise setup and control of glass temperature, setup and control of output power, and control mode change between ON/OFF and phase controls. The system can also implement multi-functional control algorithms. The control characteristics are not dependent upon external disturbances, such as ambient temperature and electrical noises. Furthermore, the proposed temperature control system utilizes the power line communication (PLC) method to control the number of heated glasses without any extra communication lines. The system proposes a new communication protocol with strong immunity to electrical switching noises. A new sensorless algorithm is used to detect the temperature of the heated glass. This study presents the design guidelines in detail and its effectiveness are confirmed by implementing a 4-kw prototype temperature control system.

• 제어로봇시스템학회논문지
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• 제20권5호
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• pp.543-550
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• 2014

In many industrial processes and operations, such as power plants, petrochemical industries and ships, shell and tube heat exchangers are widely used and probably applicable for a wide range of operating temperatures. The main purpose of a heat exchanger is to transfer heat between two or more medium with temperature differences. Heat exchangers are highly nonlinear, time-varying and show time lag behavior during operation. The temperature control of such processes has been challenging for control engineers and a variety of forms of PID controllers have been proposed to guarantee better performance. In this paper, a scheme to control the outlet temperature of a shell and tube heat exchanger system that combines the PID controller with feedforward control and anti-windup techniques is presented. A genetic algorithm is used to tune the parameters of the PID controller with anti-windup and the feedforward controller by minimizing the IAE (Integral of Absolute Error). Simulation works are performed to study the performance of the proposed method when applied to the process.

• 제어로봇시스템학회논문지
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• 제5권6호
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• pp.667-675
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• 1999

In this paper, we propose a robust controller design of RTP(Rapid Thermal Processing) system using structured uncertainty approach. Using the weighted mixed sensitivity function, we solve the robust stability problem against disturbance and temperature variation, and design a $\mu$ controller using curve fitting method against structured uncertainty. Also the reduction method should be requried because of the difficulty of implementaion with the obtained high order controller. We dal with robust stability and performance of RTP system by the design of $\mu$ controller for original model and Schur balanced reduced model. Finally the simulation results are proposed to show the validity of the proposed method.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1997년도 전력전자학술대회 논문집
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• pp.441-444
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• 1997

This paper describes the bending traveling-wave type ultrasonic motor which generates the traveling wave by combining two standing waves with phase difference time and space. In +2$0^{\circ}C$~3$0^{\circ}C$, the operation characteristic of USM has represented normal condition. But in the other temperature, the operation characteristic of USM has abnormal condition, that is driving frequency, drive current and r.p.m are down. The recent USM has controller without temperature compensation. This study aimed at fuzzy controller which must follow the frequency at operation temperature and then r.p.m and torque increased.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.633-635
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• 1999

We design to the temperature control system based on Receding horizon control(RHC) with a terminal output weighting for stochastic state model. This system has a large time delay, a nonlinear temperature characteristics, a perturbation, a disturbance, etc. In this paper, we show that RHC can easily be applied to the system to track the desired temperature, since it takes the receding horizon strategy for both controller and filter.