• Title/Summary/Keyword: Temperature Controller

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Development of a Temperature Controller for Microwave-assisted Digestion System for Agricultural Samples (농식품 시료 전처리를 위한 마이크로웨이브 분해기용 온도 제어장치 개발)

  • Mo, Chang-Yeon;Kim, Gi-Young;Kim, Hak-Jin;Kim, Yong-Hun;Yang, Kil-Mo;Lee, Kang-Jin
    • Journal of Biosystems Engineering
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    • v.34 no.5
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    • pp.371-376
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    • 2009
  • Microwave digestion is a preferred pretreatment method for agricultural samples because of its quick chemical reaction and minimum loss of analytes. In this research, a feedback temperature controller was developed to control the temperature inside a vessel for the microwave-assisted digestion system. An existing industrial microwave oven was fitted with the temperature controller for controlling inside temperature of the vessel. Four control methods, On/Off, proportional (P), proportional integral (PI), and proportional integral derivative (PID) were used and compared. Experimental results showed that PID control produced best temperature control performance. The PID controller could maintain the temperature of water sample and rice sample in the digestion system with error range of $-2.5{\sim}3.3^{\circ}C$ and $-1.9{\sim}0.5^{\circ}C$ at set temperature of $170^{\circ}C$, respectively.

Design of Temperature based Gain Scheduled Controller for Wide Temperature Variation (게인 스케줄링을 이용한 광대역 온도제어기의 설계)

  • Jeong, Jae Hyeon;Kim, Jung Han
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.8
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    • pp.831-838
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    • 2013
  • This paper focused on the design of an efficient temperature controller for a plant with a wide range of operating temperatures. The greater the temperature difference a plant has, the larger the nonlinearity it is exposed to in terms of heat transfer. For this reason, we divided the temperature range into five sections, and each was modeled using ARMAX(auto regressive moving average exogenous). The movement of the dominant poles of the sliced system was analyzed and, based on the variation in the system parameters with temperature, optimal control parameters were obtained through simulation and experiments. From the configurations for each section of the temperature range, a temperature-based gain-scheduled controller (TBGSC) was designed for parameter variation of the plant. Experiments showed that the TBGSC resulted in improved performance compared with an existing proportional integral derivative (PID) controller.

Development of MMI System for Smart Temperature controller with Android Platform (안드로이드 플랫폼을 탑재한 스마트 온도제어기의 MMI 시스템 개발)

  • Lee, Kap Rai
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.457-465
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    • 2019
  • This paper present developing methods of man-machine interface(MMI) system for smart temperature controller with android platform. This MMI system could communicate with mobile machine. Firstly we present electrical hardware design method of MMI system of smart temperature controller. Smart temperature controller is composed of dual processors. Secondly we develop operating software of MMI system using android development environment. And finally we present verification of MMI systems of smart temperature controller with android platform through field experiment. This MMI system with android platform has rapid development speed due to performance of android platform.

Temperature control of the Rework-system using fuzzy PID controller (퍼지 PID 제어기에 의한 리워크 시스템의 온도제어)

  • Oh, Kabsuk;Kang, Geuntaek
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.10
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    • pp.6289-6295
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    • 2014
  • Rework systems are the equipment used to install or remove semiconductor chips with BGA or SMD forms in printed circuit boards. The rework systems have hot air outlets. At the outlets, precise temperature control is needed to avoid heat shock. The aim of this paper was to suggest a new controller for temperature control at the hot air outlets. The suggested controller was a fuzzy PID controller. The fuzzy PID controllers were composed of TSK fuzzy rules and had outstanding ability for nonlinear systems control. This paper reports the design algorithm of fuzzy PID controllers, and the design process of the fuzzy PID controller for the temperature control of the outlets. Temperature control experiments were performed to verify the ability of the suggested controller. As a result, the RMS of the proposed method is 9.44 and the general method is 15.88. The experiments showed that the temperatures at the outlet using the suggested fuzzy PID controller followed the desired ones better than the commonly used PID controller.

Temeperature control method of refrigerator using fuzzy logic controller (퍼지 로직 제어기를 이용한 냉장고 온도 제어 방법)

  • 최병준;한상완;홍석교
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.28-31
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    • 1997
  • This paper describes the quick and precise controlling method for home-applied refrigerator. The proposed controller is based on the fuzzy logic control method and is designed for better performance in maintaining the constant temperature of the refrigerator. The temperature of the refrigerator is controlled by the cooling air blowing fan motor which is put on, off according to fuzzy logic controller. Finally, I study the performance of the proposed controller through the computer simulation about the approximated model of the refrigerator.

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Development of auto-tuning PID controller for Temperature Control systems and Its Application to Rapid Thermal Processor (온도제어용 자동동조 PID 제어기 설계와 RTP에의 적용)

  • 임재식;이영일
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.62-62
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    • 2000
  • An auto-tuning PID controller which is adequate for temperature control is developed based on relay-control and pole-placement Using the critical frequency which is obtained from relay-control parameters of assumed model are identified. Pole/zero-placement PID controller is designed for the identified model. The desired pole/zeros are determined so that the closed-loop has overshoot free step response. The developed auto-tuning PID controller was successfully applied to the temperature control of RTP.

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A Combined Lookup Table and PI-type Controller for Temperature Control of Thermal Process

  • Tojang, Weerasak;Pannil, Pittaya;Chaikla, Amphawan;Julsereewong, Prasit;Tirasesth, Kitti
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1088-1092
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    • 2003
  • This paper presents a combined lookup table technique and PI-type controller. The purpose of the designed controller is applied to control the nonlinear system as thermal process. The proposed controller is easy and convenient to design based on a commercial controller. The performances of the proposed controller were studied using the thermal plant model under temperature control. The experimental results included demonstrate the good performance of the proposed controller.

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A Study On the Design Of Fuzzy Controller for the Steam Temperature Process in the Coal Fired Power Plant

  • Shin, Sang-Doo;Kim, Yi-Gon;Lee, Bong-Kuk
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.350-353
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    • 2003
  • In this paper, we proposed the method to design fuzzy controller using the experience of the operating expert and experimental numeric data for the robust control about the noise and disturbance instead of the traditional PID controller for the main steam temperature control of the thermal power plant. The temperature of main steam temperature process has to be controlled uniformly for the stable electric power output. The process has the problem of the hunting for the cases of various disturbances. In that case, the manual action of the operator happened to be introduced in some cases. We adopted the TSK (Takagi-Sugeno-Kang) model as the fuzzy controller and designed the fuzzy rules using the informations extracted directly from the real plant and various operating condition to solve the above problems and to apply practically. We implemented the real fuzzy controller as the Function Block module in the DCS(Distributed Control System) and evaluated the feasibility through the experiment81 results of the simulation.

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Design Of Fuzzy Controller for the Steam Temperature Process in the Coal Fired Power Plant

  • Shin, Sang Doo;Kim, Yi-Gon;Lee, Bong Kuk;Bae, Young Chul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.2
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    • pp.187-192
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    • 2004
  • In this paper, we proposed the method to design fuzzy controller using the experience of the operating expert and experimental numeric data for the robust control about the noise and disturbance instead of the traditional PID controller for the main steam temperature control of the thermal power plant. The temperature of main steam temperature process has to be controlled uniformly for the stable electric power output. The process has the problem of the hunting for the cases of various disturbances. In that case, the manual action of the operator happened to be introduced in some cases. We adopted the TSK (Takagi-Sugeno-Kang) model as the fuzzy controller and designed the fuzzy rules using the informations extracted directly from the real plant and various operating condition to solve the above problems and to apply practically. We implemented the real fuzzy controller as the Function Block module in the DCS(Distributed Control System) and evaluated the feasibility through the experimental results of the simulation.

Fuzzy PD plus I Controller of a CSTR for Temperature Control

  • Lee, Joo-Yeon;So, Hye-Rim;Lee, Yun-Hyung;Oh, Sea-June;Jin, Gang-Gyoo;So, Myung-Ok
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.5
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    • pp.563-569
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    • 2015
  • A chemical reaction occurring in CSTR (Continuous Stirred Tank Reactor) is significantly affected by the concentration, temperature, pressure, and reacting time of materials, and thus it has strong nonlinear and time-varying characteristics. Also, when an existing linear PID controller with fixed gain is used, the performance could deteriorate or could be unstable if the system parameters change due to the change in the operating point of CSTR. In this study, a technique for the design of a fuzzy PD plus I controller was proposed for the temperature control of a CSTR process. In the fuzzy PD plus I controller, a linear integral controller was added to a fuzzy PD controller in parallel, and the steady-state performance could be improved based on this. For the fuzzy membership function, a Gaussian type was used; for the fuzzy inference, the Max-Min method of Mamdani was used; and for the defuzzification, the center of gravity method was used. In addition, the saturation state of the actuator was also considered during controller design. The validity of the proposed method was examined by comparing the set-point tracking performance and the robustness to the parameter change with those of an adaptive controller and a nonlinear proportional-integral-differential controller.