• 제목/요약/키워드: 3-loop controller

검색결과 303건 처리시간 0.02초

Decentralized Load-Frequency Control of Large-Scale Nonlinear Power Systems: Fuzzy Overlapping Approach

  • Lee, Ho-Jae;Kim, Do-Wan
    • Journal of Electrical Engineering and Technology
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    • 제7권3호
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    • pp.436-442
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    • 2012
  • This paper develops a design methodology of a decentralized fuzzy load-frequency controller for a large-scale nonlinear power system with valve position limits on governors. The concerned system is locally exactly modeled in Takagi-Sugeno's form. Sufficient design condition for uniform ultimate boundedness of the closed-loop system is derived based on the overlapping decomposition. Convergence of all incremental frequency deviations to zero is also investigated. A simulation result is provided to visualize the effectiveness of the proposed technique.

임의 파형 발생기를 위한 단일 루프 전압 제어기 설계 (Design of the Single-loop Voltage Controller for Arbitrary Waveform Generator)

  • 김현식;지승준;설승기
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2015년도 전력전자학술대회 논문집
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    • pp.313-314
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    • 2015
  • 본 논문은 3상 4선식 인버터를 이용하여 임의의 전압 파형을 발생하기 위한 우수한 성능의 폐루프 전압 제어기를 제안하고 제어 이득 설정 방법을 제시한다. 먼저, 임의 파형 발생기에 사용된 3상 4선식 인버터 및 LC 필터 회로 구조를 분석하고, 이를 기반으로 한 전압 제어기 구조를 제안한다. 제안된 전압 제어기는 폐루프 형태의 PI 전압 제어기를 사용하고, 과도 특성 개선 및 부하 전류로 인한 전압 왜곡 방지를 위해 인버터 전류 및 부하 전류 정보를 전향 보상에 사용한다. 실험을 통해 전압 지령에 대한 응답 특성이 향상되는 것을 확인할 수 있다.

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목표물 신호 모니터링 및 SPGD 알고리즘 기반 3 채널 타일형 결맞음 빔결합 시스템 연구 (3-channel Tiled-aperture Coherent-beam-combining System Based on Target-in-the-loop Monitoring and SPGD Algorithm)

  • 김영찬;윤영선;김한솔;장한별;박재덕;최윤진;나정균;이주한;강현구;여민수;최규홍;노영철;정윤찬;이혁재;유봉안;염동일;전창수
    • 한국광학회지
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    • 제32권1호
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    • pp.1-8
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    • 2021
  • 단일 레이저의 출력 한계를 뛰어넘기 위한 빔결합 방법으로서, 보강간섭 원리를 이용한 타일형 결맞음 빔결합 시스템에 대해 연구하였다. 와트급 출력의 3 채널 결맞음 광섬유 레이저 및 삼각형 배치의 팁-틸트(tip-tilt) 기능을 갖춘 3 채널 출력단을 자체제작 하였다. 모니터링 시스템, 위상제어기, 3 채널 위상변조기 간의 궤환 제어 시스템(closed-loop system)을 구성하고 SPGD 알고리즘을 적용하여, 위상잠금 속도 5~67 kHz, 이상적인 계산값 대비 중심부 광세기 효율 53.3%의 성공적인 3 채널 위상잠금을 구현하였다. 빔결합 소자가 필요 없고, 가장 고출력 가능성을 가진 타일형 결맞음 빔결합을 위한 요소기술 개발이 완료되어, 향후 다채널, 고출력, 고속 제어 연구로 이어질 수 있을 것으로 기대된다.

Positive Real Control for Uncertain 2-D Singular Roesser Models

  • Xu Huiling;Xie Lihua;Xu Shenyuan;Zou Yun
    • International Journal of Control, Automation, and Systems
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    • 제3권2호
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    • pp.195-201
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    • 2005
  • This paper discusses the problem of positive real control for uncertain 2-D linear discrete time singular Roesser models (2-D SRM) with time-invariant norm-bounded parameter uncertainty. The purpose of this study is to design a state feedback controller such that the resulting closed-loop system is acceptable, jump modes free and stable, and achieves the extended strictly positive realness for all admissible uncertainties. A version of positive real lemma for the 2-D SRM is given in terms of linear matrix inequalities (LMIs). Based on the lemma, a sufficient condition for the solvability of the positive real control problem is derived in terms of bilinear matrix inequalities (BMIs) and an iterative procedure for solving the BMIs is proposed.

TMS320C40을 이용한 3상 PWM AC/DC 컨버터 제어 (DSP(TMS320C40) Control of Three-phase PWM AC/DC Converter)

  • 변영복;김은수;구헌회;조기연;박성준;김철우
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 A
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    • pp.518-520
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    • 1996
  • High frequency switching converters are becoming more popular because of several benefits which are essential in power conversion system. This paper introduces a high speed digital controller using TMS320C40 DSP chip which can be used for high frequency switching converters and demonstrates its performance by operating three-phase PWM AC/DC converter with unity power factor at 20kHz sampling frequency. TMS320C40 DSP chip operates with 40-ns instruction cycle times and is capable of 275 MOPS. The running time of real time control loop at the three-phase PWM AC/DC converter is $44.6{\mu}sec$.

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유연한 수평 다관절 로봇의 진동제어 (Vibration Control of Flexible SCARA Robots)

  • 임승철;용대중
    • 소음진동
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    • 제7권3호
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    • pp.387-392
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    • 1997
  • This paper concerns a SCARA robot with the flexible forearm linked to the rigid upper arm. The equations of motion are derived by the Lagrangian mechanics. For controller design, the perturbation approach is taken to separate the original equations of motion into linear equations describing small perturbed motions and nonlinear equations describing purely rigid motion of the robot. To effect the desired payload motion, open loop control inputs are determined based on the inverse dynamics of the latter. In order to reduce the positional error during maneuver, an active vibration suppression is done. To this end, a feedback control is designed for robustness against disturbance on the basis of the linear equations and the LQR theory modified to have a prescribed degree of stability. The proposed control scheme shows satisfactory performances in experiments as well as in numerical simulations.

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INTERNAL FEEDBACK CONTROL OF THE BENJAMIN-BONA-MAHONY-BURGERS EQUATION

  • Piao, Guang-Ri;Lee, Hyung-Chen
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제18권3호
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    • pp.269-277
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    • 2014
  • A numerical scheme is proposed to control the BBMB (Benjamin-Bona-Mahony-Burgers) equation, and the scheme consists of three steps. Firstly, BBMB equation is converted to a finite set of nonlinear ordinary differential equations by the quadratic B-spline finite element method in spatial. Secondly, the controller is designed based on the linear quadratic regulator (LQR) theory; Finally, the system of the closed loop compensator obtained on the basis of the previous two steps is solved by the backward Euler method. The controlled numerical solutions are obtained for various values of parameters and different initial conditions. Numerical simulations show that the scheme is efficient and feasible.

신경회로망과 퍼지필터를 사용한 근전도신호의 기능변별에 관한 연구 (A Study on Function Discrimination for EMG Signals Using Neural Network and Fuzzy Filter)

  • 장영건;홍승홍
    • 대한의용생체공학회:의공학회지
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    • 제15권3호
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    • pp.355-364
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    • 1994
  • The most important requirement for the controller of a prosthetic arm is that it has a high fidelity discriminator where the motion control may be performed open loop using EMG signals as a control source. Therefore, it is very effective method to reduce the influence of misclassification of classifier for the total system performance. This paper presents the new function discrimination method which combines MLP classifier and frizzy filter by stages for the requirement. The major advantage of MLP is a consistent learning capability for the easy adaptation to environments. The fuzzy filter uses all informations of MLP outputs and prior EMG activity informations which increase as the experience increases. That property is superior to one which uses maximum output of MLP in view of information amounts and quality. Simulation result shows that proposed method is superior to the probabilistic model, MLP model and the combined model of both in the respect of discrimination quaity.

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Design of an Adaptive Fuzzy Controller and Its Application to Controlling Uncertain Chaotic Systems

  • Rark, Chang-woo;Lee, Chang-Hoon;Kim, Jung-Hwan;Kim, Seungho;Park, Mignon
    • Transactions on Control, Automation and Systems Engineering
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    • 제3권2호
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    • pp.95-105
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    • 2001
  • In this paper, in order to control uncertain chaotic system, an adaptive fuzzy control(AFC) scheme is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno(T-S) fuzzy models. The proposed AFC scheme provides robust tracking of a desired signal for the T-S fuzzy systems with uncertain parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the chaotic state tracks the state of the stable reference model(SRM) asymptotically with time for any bounded reference input signal. The suggested AFC design technique is applied for the control of an uncertain Lorenz system based on T-S fuzzy model such as stabilization, synchronization and chaotic model following control(CMFC).

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Nonlinear Friction Compensator Design for Mechatronics Servo Systems Using Neural Network

  • Chung, Dae-won;Nobuhiro Kyra;Hiromu Gotanda
    • Transactions on Control, Automation and Systems Engineering
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    • 제3권2호
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    • pp.111-116
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    • 2001
  • A neural network compensator for stick-slip friction phenomena in meashartonics servo systems is practically proposed to supplement the traditionally available position and velocity control loops for precise motion control. The neural network compensa-tor plays the role of canceling the effect of nonlinear slipping friction force. It works robustly and effectively in a real control system. This enables the mechatronics servo systems to provide more precise control in the digital computer. It was confirmed that the con-trol accuracy is improved near zero velocity and points of changing the moving direction through numerical simulation. However, asymptotic property on the steady state error of the normal operation points is guaranteed by the integral term of traditional velocity loop controller.

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