• 제목/요약/키워드: Automatic Level Controller

검색결과 66건 처리시간 0.022초

저 출력시 증기발생기 수위의 자동제어논리 개발 (Development of an automatic steam generator level control logic at low power)

  • 한재복;정시채;유준
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.601-604
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    • 1996
  • It is well known that steam generator water level control at low power operation has many difficulties in a PWR (pressurized water reactor) nuclear power plant. The reverse process responses known as shrink and swell effects make it difficult to control the steam generator water level at low power. A new automatic control logic to remove the reverse process responses is proposed in this paper. It is implemented in PLC (programmable logic controller) and evaluated by using test equipment in Korea Atomic Energy Research Institute. The simulation test shows that the performance requirements is met at low power (below 15%). The water level control by new control logic is stabilized within 1% fluctuation from setpoint, while the water level by YGN 3 and 4 control logic is unstable with the periodic fluctuation of 25% magnitude at 5% power.

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지연시간이 변하는 시스템을 고려한 자기동조 PID 제어기 (A Self -Tuning PID Controller for a System with Varying Time Delays)

  • Lee, Chang-Goo
    • 대한전기학회논문지
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    • 제37권7호
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    • pp.475-483
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    • 1988
  • One of the advantages of the well-known PID controller is that it is a sufficiently flexible controller for many applications. But, when the plant parameters and disturbances are unknown or change with time, it is desirable to make automatic tuning of PID controller in order to achieve an acceptable level of performance of the control system. This paper presents a reformulation of the self-tuning pole-zero placement controller subject to some conditions and restrictions. It has the structure of a digital PID controller and is based on Vogel and Edgar's pole-zero placement design method. Various properties of this self-tuning PID controller are described and illustrated by simulation examples.

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DESIGN OF A LOAD FOLLOWING CONTROLLER FOR APR+ NUCLEAR PLANTS

  • Lee, Sim-Won;Kim, Jae-Hwan;Na, Man-Gyun;Kim, Dong-Su;Yu, Keuk-Jong;Kim, Han-Gon
    • Nuclear Engineering and Technology
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    • 제44권4호
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    • pp.369-378
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    • 2012
  • A load-following operation in APR+ nuclear plants is necessary to reduce the need to adjust the boric acid concentration and to efficiently control the control rods for flexible operation. In particular, a disproportion in the axial flux distribution, which is normally caused by a load-following operation in a reactor core, causes xenon oscillation because the absorption cross-section of xenon is extremely large and its effects in a reactor are delayed by the iodine precursor. A model predictive control (MPC) method was used to design an automatic load-following controller for the integrated thermal power level and axial shape index (ASI) control for APR+ nuclear plants. Some tracking controllers employ the current tracking command only. On the other hand, the MPC can achieve better tracking performance because it considers future commands in addition to the current tracking command. The basic concept of the MPC is to solve an optimization problem for generating finite future control inputs at the current time and to implement as the current control input only the first control input among the solutions of the finite time steps. At the next time step, the procedure to solve the optimization problem is then repeated. The support vector regression (SVR) model that is used widely for function approximation problems is used to predict the future outputs based on previous inputs and outputs. In addition, a genetic algorithm is employed to minimize the objective function of a MPC control algorithm with multiple constraints. The power level and ASI are controlled by regulating the control banks and part-strength control banks together with an automatic adjustment of the boric acid concentration. The 3-dimensional MASTER code, which models APR+ nuclear plants, is interfaced to the proposed controller to confirm the performance of the controlling reactor power level and ASI. Numerical simulations showed that the proposed controller exhibits very fast tracking responses.

감마선투과검사 장치의 자동 원격조작기 개발 (Development of Automatic Remote Exposure Controller for Gamma Radiography)

  • 주광태;신진성;김동언;송정호;주승환;장홍근
    • 비파괴검사학회지
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    • 제22권5호
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    • pp.490-499
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    • 2002
  • 국내 감마선투과검사용 조사장치는 1,000여대로 2,500여명의 종사자가 대부분 수동으로 원격 조작하는 실정으로 작업의 효율화와 방사선피폭 저감화를 위하여 자동 원격조작기의 사용이 요구된다. 이에 연구팀은 실무에 적합한 토크와 안전계수로부터 $54kgf{\cdot}cm$의 출력을 지닌 24V, 200W의 BLDC모터를 이용하여 $0.4{\sim}1.2m/s$ 범위의 선원 이동 속도를 조절할 수 있는 구동장치와 RF 센서로 구동 속도 조절, 광전센서에 의한 선원 위치 및 timer로 노출시간을 제어할 수 있는 무선 원격조작기를 개발하였다. 이와 같이 개발한 자동원격조작기는 AC 와 DC 겸용, 그리고 기존의 수통 원격조작기에 탈착이 가능하여 자동과 수동을 겸용할 수 있는 경제적 이점 등으로 활용도가 클 것으로 기대된다.

선박 접이안의 퍼지학습제어 (On the Ship's Berthig Control by introducing the Fuzzy Neural Network)

  • 구자윤;이철영
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1994년도 춘계학술발표회
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    • pp.55-67
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    • 1994
  • Studies on the ship's automatic navigation & berthing control have been continued by way of solving the ship's mathematical model but the results of such studies have not reached to our satisfactory level due to its non-linear characteristics ar low speed. In this paper the authors propose a new berthing control system which can evaluate as closely as captain's decision-making by using the FNN(Fuzzy Neural Network) controller which can simulate captain's decision-making by using the FNN(Fuzzy neural Network) controller which can simulate captain's knowledge. This berthing controller consists of the navigation subsystem FNN controller and the berthing subsystem FNN controller. The learning data are drawn from Ship Handling Simulator (NavSim NMS90 MK III) and represent the ship motion characteristics internally According to learning procedure both FNN controllers can tune membership functions and identify fuzzy control rules automatically The verified results show the FNN controllers effective to incorporate captain's knowledge and experience of berthing.

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바이러스 감염 판별용 혈액 검사기 개발 (The development of Inspection Machine for a blood virus infection)

  • 전재민;서규태;이보희;이인구;민승기;김학준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.465-467
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    • 2004
  • This paper deals with the design and analysis of automatic virus infection machine, which can be used in blood testing at veterinary hospital. It consists of the mechanical positioning parts and electrical control parts. Two of driving motor and ball screws are used to move the liquid container into the test position and mix the blood on litmus paper. In addition, a thermal controller is installed to keep the container temperature on constant level. The user interface using with a LCD and some keys are supplied with a 8-bit single chip controller. All of the designs issue related with the mechanism and controllers are discussed in detail. Finally the proposed machine is tested in real experiment with the formal processing to judge the virus infection, and also the usefulness of designed algorithm is verified through the experiments.

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선박 접리안의 퍼지학습제어 (On the Ship's Berthing Control by introducing the Fuzzy Neural Network)

  • 구자윤;이철영
    • 한국항해학회지
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    • 제18권2호
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    • pp.69-81
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    • 1994
  • Studies on the ship's automatic navigation & berthing control have been continued by way of solving the ship's mathematical model, but the results of such studies have not reached to our satisfactory level due to its non-linear characteristics at low speed. In this paper, the authors propose a new berthing control system which can evaluate as closely as cap-tain's decision-making by using the FNN(Fuzzy Neural Network) controller which can simulate captain's knowledge. This berthing controller consists of the navigation subsystem FNN controller and the berthing subsystem FNN controller. The learning data are drawn from Ship Handling Simulator (NavSim NMS-90 MK Ⅲ) and represent the ship motion characteristics internally. According to learning procedure, both FNN controllers can tune membership functions and identify fuzzy control rules automatically. The verified results show the FNN controllers effective to incorporate captain's knowledge and experience of berthing.

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수로에 있어서 선박조종의 퍼지학습제어 (On the Control of Ship Maneuvering in Channel by Introducing the Fuzzy Neural Network)

  • 구자윤;이철영
    • 한국항만학회지
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    • 제7권2호
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    • pp.61-68
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    • 1993
  • Studies on the ship's automatic navigation & berthing control have been continued by way of solving the ship's mathematical model, but the results of such studies have not reached to our satisfactory level due to its non-linear characteristics at low speed. In this paper, the authors propose a new control system which can evaluate as closely as captain's decision-making by using the FNN(Fuzzy Neural Network) controller which can simulate captain's knowledge. This controller contains the concept of safety according to channel width. The learning data are drawn from ship Handling simulator(NavSim NMS-90 MK III) and represent the ship motion characteristics internally. According to learning procedure, the FNN controller can tune membership functions and identify fuzzy control rules automatically. The verified results show that the FNN controller is effective to incorporate captain's knowledge and experience of manoeuvrability in channel.

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자동 지령모드절환 기능을 갖춘 PMSG MV 해상 풍력 발전기의 직접전력제어 방법 (Automatic Command Mode Transition Strategy of Direct Power Control for PMSG MV Offshore Wind Turbines)

  • 권국민;서용석
    • 전력전자학회논문지
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    • 제21권3호
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    • pp.238-248
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    • 2016
  • In this study, an automatic command mode transition strategy of direct power control (DPC) is proposed for permanent magnet synchronous generators (PMSGs) medium-voltage (MV) offshore wind turbines (WTs). Benchmarking against the control methods are performed based on a three-level neutral-point-clamped (NPC) back-to-back type voltage source converter (VSC). The ramping rate criterion of complex power is utilized to select the switching vector in DPC for a three-level NPC converter. With a grid command and an MPPT mode transition strategy, the proposed control method automatically controls the generated output power to satisfy a grid requirement from the hierarchical wind farm controller. The automatic command mode transition strategy of DPC is confirmed through PLECS simulations based on Matlab. The simulation result of the automatic mode transition strategy shows that the proposed control method of VOC and DPC achieves a much shorter transient time of generated output power than the conventional control methods of MPPT and VOC under a step response. The proposed control method helps provide a good dynamic performance for PMSGs MV offshore WTs, thereby generating high quality output power.