• Title/Summary/Keyword: System Gain

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A Basic Study for Tuning Power System Stabilizer Part I : Analyzing the Torque Characteristics of Power System Corresponding to Operating Conditions (PSS 튜닝을 위한 기본 연구 Part I : 계통 운전조건에 대한 토오크 특성분석)

  • 김동준;문영환;김태균
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.9
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    • pp.1064-1072
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    • 1999
  • The basic concepts, which are related to the PSS tuning conditions and performance conditions for the safe of determination of PSS gain and compensation of phasor lagging, are thoroughly investigated in this first part. The performance conditions, where the power system has the lowest inherent damping torque and PSS should provide maximum damping torque, are examined by analysing synchronizing torque and damping torque supplied by the voltage control loop at the oscillation frequency. PSS tuning conditions are also investigated by observing the phasor lagging and the gain, resulted from power system-generator-excitation system depending on operating conditions, such as generator active power, reactive power, transmission impedance and AVR gain. The basic concepts developed in this PartImake it possible to lay foundation for the discussion of PSS tuning in Part II.

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Robust Speed Control of PMSM with Fuzzy Gain Scheduling

  • Won, Tae-Hyun;Kim, Mun-Soo;Park, Han-Woong;Lee, Man-Hyung
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.111.1-111
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    • 2001
  • In this paper, a robust speed control is proposed for Permanent Magnet Synchronous Motor system. PMSM without reduction gear has been widely used in high performance application such as robots and machine tools. It is well known that the control performance of the PMSM is very sensitive to load disturbance and system parameter variation. The idea of the proposed speed controller based on combination of sliding mode control with fuzzy gain scheduling. The sliding mode controller leads to fast system dynamics of slight sensitivity to the load disturbance and system parameter variations, the fuzzy gain scheduling mechanism reduces the chattering phenomenon. The simulation results have proved that the proposed control scheme provides a robust control performance under load disturbance and system parameter variation.

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A Study on the Dynamic Analysis and Control Algorithm for a Motor Driven Power Steering System

  • Yun, Seokchan;Han, Changsoo;Wuh, Durkhyun
    • Journal of Mechanical Science and Technology
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    • v.16 no.2
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    • pp.155-164
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    • 2002
  • The power steering system for vehicles is becoming essential for supporting the steering efforts of the drivers, especially for the parking lot maneuver Although hydraulic power steering has been widely used for years, its efficiency is not high enough. The problems associated with a hydraulic howe. steering system can be solved by a motor driven power steering (MDPS) system. In this study, a dynamic model and a control algorithm for the ball screw type of MDPS system have been derived and analyzed by using the method of discrete modeling technology. To improve steering feel and power steering characteristics, two derivative gains are added to the conventional power boosting control algorithm. Through simulations, the effects of the control gain on the steering angle gain were verified in the frequency domain. The steering returnability and steering torque phase lag in on-center handling test were also evaluated in the time domain.

Dynamic Characteristic Identification on Steel Column bases Installed in Pendulum-type Earthquake Response Observatory

  • Choi, Jae-Hyouk;Ohi, Kenichi
    • Journal of Mechanical Science and Technology
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    • v.18 no.12
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    • pp.2225-2235
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    • 2004
  • An observatory termed 'Steel Swing' has been developed, where a 15000 kg pendulum is hanged from a stiff steel frame. A building element can be tested after inserted between the pendulum and the frame. Free vibration, forced vibration tests and earthquake monitoring were performed on an exposed-type steel column base. The response records monitored during natural earthquakes were used to identify the vibration property of the specimen. Identified system gain was approximated by a theoretical gain of linear SDOF system, and the response calculated based on such a linear system agrees with the monitored response fairly well. This research technique can be applied to check the behaviors of new materials and new details of connections and the safety of non-structural elements as well.

A Practical Power System Stabilizer Tuning Method and its Verification in Field Test

  • Shin, Jeong-Hoon;Nam, Su-Chul;Lee, Jae-Gul;Baek, Seung-Mook;Choy, Young-Do;Kim, Tae-Kyun
    • Journal of Electrical Engineering and Technology
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    • v.5 no.3
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    • pp.400-406
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    • 2010
  • This paper deals with parameter tuning of the Power System Stabilizer (PSS) for 612 MVA thermal power plants in the KEPCO system and its validation in a field test. In this paper, the selection of parameters, such as lead-lag time constants for phase compensation and system gain, is optimized using linear and eigenvalue analyses. This is then verified through the time-domain transient stability analysis. In the next step, the performance of PSS is finally verified by the generator's on-line field test. After the field test, measured and simulated data are also compared to prove the effectiveness of the models used in the simulations.

Frequency control of flywheel energy storage system based on a variable gain depending on the rotor speed and frequency deviation (회전자 속도와 주파수 편차에 따라 변하는 가변게인을 이용한 플라이휠 에너지 저장장치의 주파수 제어)

  • Lee, Hyewon;Na, Woonki;Kim, Jonghoon
    • Proceedings of the KIPE Conference
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    • 2018.07a
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    • pp.354-355
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    • 2018
  • Flywheel energy storage system (FESS) operates motor or generator by utilizing the stored kinetic energy in the rotating mass. Thus, the FESS can support the frequency control of the power system. However, the FESS is disabled when the rotor speed reaches to its minium value. Thus, the second frequency dip occurs in the power system. This paper proposes the frequency control scheme of FESS based on a variable gain depending on the rotor speed and frequency deviation. The proposed scheme prevents the second frequency dip because the variable gain decreases depending on the stored in the FESS. The performance of the proposed scheme is investigated for the IEEE 14-bus system.

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Implementation of Optimal Temperature Controller for Thermoelectric Device-based Heating System Using Genetic Algorithm (유전알고리즘을 이용한 열전소지 기반 히팅 시스템의 최적 온도 제어기 구현)

  • Jung-Shik Kong
    • Design & Manufacturing
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    • v.17 no.3
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    • pp.41-47
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    • 2023
  • This paper presents the development of a controller that can control the temperature of an heating system based on a thermoelectric module. Temperature controller using Peltier has various external factors such as external temperature, characteristics of an aluminum plate, installation location of temperature sensors, and combination method between the aluminum plate and heating element. Therefore, it is difficult to apply the simulation and simulation results of heating system using Peltier at control algorithm. In general, almost temperature controller is using PID algorithm that finds control gain value heuristically. In this paper, it is proposed mathematical model that explain correlate between the temperature of the heating system and input voltage. And then, optimal parameter of estimated thermal model of the aluminum plate are searched by using genetic algorithm. In addition, based on this estimated model, the optimal PID control gain are inferred using a genetic algorithm. All of the sequence are simulated and verified with proposed real system.

The Speed Control of Induction Motor using Automatic Neural Network Gain Regulator (신경망이득 자동조절기를 이용한 유도모터 속도 제어)

  • Park, Wal-Seo;Kim, Yong-Wook;Lee, Sung-Su
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.7
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    • pp.53-57
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    • 2006
  • PID controller is widely uesd as automatic equipment for industry. However when a system has various characters of intermittence or continuance, a new parameter decision for accurate control is a hard task. As method of solving this problem, in this paper, a Neural Network gain automatic regulator as PID controller functions is presented. A property feedback control gain of system is decided by a rule of Delta learning. The function of proposed automatic Neural Network gain regulator is verified by speed control experiment results of Induction Motor.

EFFECTS OF VARYING DIETARY LEVELS OF TOTAL DIGESTIBLE NUTRIENTS, PROTEIN AND FIBER ON THE GROWTH OF CROSSBRED HOLSTEIN HEIFERS FED UREA-TREATED RICE STRAW DIETS UNDER TWO FEEDING SYSTEMS

  • Promma, S.;Tuikumpee, S.;Jeenklum, P.;Indratula, T.
    • Asian-Australasian Journal of Animal Sciences
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    • v.6 no.1
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    • pp.91-97
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    • 1993
  • This experiment was carried out to examine the effects of urea-treated rice straw feeding on the growth performance of crossbred Holstein heifers under different feeding conditions. In the first experiment, the animals were given diets having 2 levels of TDN and CP and 3 levels of crude fiber (22, 30 and 36%) which were formulated with urea-treated rice straw and concentrates. Daily weight gain of heifers was not different between 22% and 30% CF diets, but the reduction of TDN or CP level to 90% of the requirements decreased the weight gain. Fiber content of 36% also reduced the body weight gain. The reduction of TDN significantly reduced DM intake and increased feed conversion ratio. Feed cost per kg weight gain was significantly increased by an increase in CF to 36%. In the second experiment, separate feeding and total mixing feeding were compared. There were no significant differences between the two feeding systems in body weight gain although the possibility of superiority in SF to TMF remained. DM intake was not affected by the feeding system, but 30% CF diet gave higher DM intake. Feed cost per kg weight gain was lower in the 30% CF diet.

Design of a Neuro Observer for Reduction of Estimate Error (추정오차 저감을 위한 뉴로 관측기 설계)

  • Nam Moon-Hyon;Yoon Kwang-Ho
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.5
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    • pp.285-290
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    • 2005
  • The state observer is being used widely because it has the advantage of the guarantee of reliability on financial problem, over heating, and physical shock. However, an Luenberger observer and a Sliding observer have such problems that an experimenter needs to know dynamics and parameters of the system. And also, the high gain observer has such a problem that it has transient state at the beginning of the observation. In this paper, the Neuro observer is proposed to improve these problems. The proposed Neuro observer complement a problem that occur from increase of gain of High-gain observer in proportion to the square number of observable state variables. And also, the proposed Neuro observer can tune the gain obtained by differentiating observational error at transient state automatically by using the backpropagation training method to stabilize the observational speed. To prove a performance of the proposed observer, it is simulated that the comparison between the state estimate performance of the proposed observer and that of Sliding, High gain observer is made by using a sinusoidal input to the observer which consists of four layers in stable 2nd order system.