• Title/Summary/Keyword: PI algorithm

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Implementation of Fuzzy Controller for HVDC Current Control Using Genetic A (유전알고리즘을 이용한 HVDC 정전류 제어용 퍼지제어기의 구현)

  • Kwon, Jung-Uk;Hwang, Gi-Hyun;Ahn, Jong-Bo;Kim, Hyung-Su;Mun, Kyeong-Jun;Park, Jun-Ho
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.223-225
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    • 2002
  • In this paper, we designed fuzzy legit controller(FLC) for HVDC current control using genetic algorithm. The proposed method was applied to HVDC power system simulator in Korea Electrotechnology Research Institute(KERI). We are adjusted input/output gain of FLC by real-time using genetic algorithm. Experimental results show that FLC has the better control performance than PI controller in terms of settling time, rising time.

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Development of Control Algorithm of D-STATCON(Distribution STATic-CONden: Compensations of Voltage Flicker and Harmonics (전압 플리커 및 고조파 보상을 위한 배전용 STATCON의 제어알고리즘 개발)

  • Jeon, Y.S.;Oh, K.I.;Lee, K.S.;Choo, J.B.
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1282-1286
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    • 1999
  • This paper presents the DQ transfomation and space vector modulation method to develop a control algorithm of distribution STATCON(STATic CONdenser) for line voltage regulation, dc link voltage regulation and harmonics compensation. The Performance analysis of a PI with ramp comparision and synchronous reference frame current controller is carried out. Based on these analysis, the control performances are desirable to compensate the harmonics and to regulate de link and line voltage of Distribution line.

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Design of An Adaptive Force Control System for the Strip Caster (박판주조의 적응제어 시스템 설계)

  • 윤두형;허건수;변철울
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.766-771
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    • 1997
  • In this strip casting,size of the roll separating force is a index representing the solidifying status of the melt. Rolling forces at the start of the casting process can change abruptly due to the overcooling of the leader strip. This inconsistensy leads to machine damage or deficient solidification which results in the failure of the casting. In this study, a mathematical model is derived for the hydraulic servo pressure control system for the twin roll strip caster and its parameters are estimated by the RLS algorithm. Based on the identified model, an one-step ahead predictive control method is applied in order to minimize the transient fluctuation of the rolling force. Its simulation results are compared with those of the conventional PI controllers.

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Improvement on Sensorless Vector Control Performance of PMSM with Sliding Mode Observer

  • Wibowo, Wahyu Kunto;Jeong, Seok-Kwon;Jung, Young-Mi
    • Journal of Power System Engineering
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    • v.18 no.5
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    • pp.129-136
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    • 2014
  • This paper proposes improvement on sensorless vector control performance of a permanent magnet synchronous motor (PMSM) with sliding mode observer. An adaptive observer gain and second order cascade low-pass filter (LPF) were used to improve the estimation accuracy of the rotor position and speed. The adaptive observer gain was applied to suppress the chattering intensity and obtained by using the Lyapunov's stability criterion. The second order cascade LPF was designed for the system to escalate the filtering performance of the back-emf estimation. Furthermore, genetic algorithm was used to optimize the system PI controller's performance. Simulation results showed the effectiveness of the suggested improvement strategy. Moreover, the strategy was useful for the sensorless vector control of PMSM to operate on the low-speed area.

RC Tree Delay Estimation (RC tree의 지연시간 예측)

  • 유승주;최기영
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.32A no.12
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    • pp.209-219
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    • 1995
  • As a new algorithm for RC tree delay estimation, we propose a $\tau$-model of the driver and a moment propagation method. The $\tau$-model represents the driver as a Thevenin equivalent circuit which has a one-time-constant voltage source and a linear resistor. The new driver model estimates the input voltage waveform applied to the RC more accurately than the k-factor model or the 2-piece waveform model. Compared with Elmore method, which is a lst-order approximation, the moment propagation method, which uses $\pi$-model loads to calculate the moments of the voltage waveform on each node of RC trees, gives more accurate results by performing higher-order approximations with the same simple tree walking algorithm. In addition, for the instability problem which is common to all the approximation methods using the moment matching technique, we propose a heuristic method which guarantees a stable and accureate 2nd order approximation. The proposed driver model and the moment propagation method give an accureacy close to SPICE results and more than 1000 times speedup over circuit level simulations for RC trees and FPGA interconnects in which the interconnect delay is dominant.

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A Study on the Selection of Controller for Position of a Pneumatic Cylinder (공기압 실린더의 위치 제어기 선정에 관한 연구)

  • 김기우
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.6
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    • pp.35-42
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    • 1999
  • This paper concentrates on the position control of a pneumatic cylinder under parameter variation. A closed-loop control is proposed to design the different controllers(P, PI, PID, PD controller) in order to choose the best con-troller based on the fast and accurate control of the system. It is shown that the control algorithm, is robust and effective in attaining the fast and accurate position control of system under time-dependent parameter variation. Experimental results showed that PD controller law is effective to obtain the fast response and to increase that sta-blity of the system The method is a useful control algorithm which always automatically adjusts the position con-trol in accordance with the error using carrier wave of triangle type regardless of changes on the operating condi-tion and physical differences between components.

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Fuzzy Gain Scheduling Flux Observer for Direct Torque Controlled Induction Motor Drives (직접토크제어 유도전동기 구동장치를 위한 퍼지이득조정 자속관측기)

  • 금원일;류지수;박태건;이기상
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.234-234
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    • 2000
  • A direct torque control(DTC) based sensorless speed control system which employs a new closed loop flux observer is proposed. The flux observer takes an adaptive scheduling gains where motet speed is used as the scheduling variable. Adaptive nature comes from the fact that the estimated values of stator resistance and speed are included as observer parameters. The parameters of the PI controllers adopted in the adaptive law for the estimation of stator resistance and motor speed are determined by simple genetic algorithm. Simulation results in low speed region are given for comparison between proposed and conventional flux estimate scheme.

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Development of LVAD Control System using Micro Controller (마이크로 컨트롤러를 이용한 전기유압식 좌심실보조기 제어시스템의 개발)

  • Lee, S.W.;Chung, C.I.;Choi, J.W.;Kim, H.C.;Min, B.G.
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.11
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    • pp.127-129
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    • 1992
  • In this paper, we describe about control system for eletro-hydraulic LVAD(Left Ventricular Assist Device) and control algorithm for two operation mode. One is asynchronous operation mode and the other is synchronous operation mode synchronized with natural heart's R pulse. We also present implementation method of software PI algorithm for velocity control of motor used in LVAD system and its response.

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Robust Speed Control of Sensorless PMSM (영구자석 동기전동기의 강인한 센서리스 속도제어)

  • Lee, D.H.;Son, M.K.;Kwon, Y.A.
    • Proceedings of the KIEE Conference
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    • 1997.07a
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    • pp.112-114
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    • 1997
  • Recently sensorless PMSM is much studied for the industrial applications and home appliances. Most of sensorless algorithm are based on the motor equations of which coefficients are motor parameters. However, uncertainty of motor parameter effects the accuracy of speed estimation of PMSM. This paper investigates the robust speed control of sensorless PMSM which has robustness to parameter uncertainty or variation. The parameter compensation is performed through PI control of the speed error between the estimated speed and the real speed obtained from the measured current. The proposed algorithm is verified through the experiment.

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Control of Nonminimum Phase Systems with Neural Networks and Genetic Algorithm

  • Park, Lae-Jeong;Park, Sangbong;Bien, Zeugnam;Park, Cheol-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.4 no.1
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    • pp.35-49
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    • 1994
  • It is well known that, for nominimum phase systems, a conventional linear controller of PID type or an adaptive controller of this structure shows limitation in achieving a satisfactory performance under tight specifications. In this paper, we combine a neuro-controller with a PI-controller with off-line learning capability provided by the Genetic Algorithm to propose a novel neuro-controller to control nonminimum phase systems effectively. The simulation results show that our proposed model is more efficient with faster rising time and less undershoot effect when the performances of the proposed controller and a conventional form are compared.

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