• 제목/요약/키워드: 강인제어기

검색결과 806건 처리시간 0.028초

과학위성 1호 탑재 컴퓨터의 설계 및 구현 (Design and Implementation of On-board Computers for KAISTSAT-4)

  • 곽성우;류상문;박홍영;오대수;유관호;최병재;김병국
    • 한국항공우주학회지
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    • 제31권4호
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    • pp.105-111
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    • 2003
  • 과학위성 1호 탑재 컴퓨터의 인증모델 개발이 완료되었다. 과학위성 1호 탑재 컴퓨터는 우리별 3호에 비하여 FPGA를 사용함으로써 크기 및 무게의 소형화를 추구하였고, 네트워크 제어기를 내장함으로써 고속으로 위성 네트워크에 접속할 수 있도록 하였다. 또한 우주환경에서 직면하게 되는 SEU(Single Event Upset)에 대한 강인성이 증대되었고, 내고장성도 증대되었다. 개발된 탑재 컴퓨터는 환경시험에서 모든 기능이 정상 동작함을 확인하였다.

직접 적응 극배치 제어기의 강인성에 관한 연구 (A Study on the Robustness of a Direct Adaptive Pole-placement Controller)

  • 김영진;김응석;양해원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.666-669
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    • 1991
  • This paper deals with the robustness of a direct adaptive pole-placement control algorithm for continuous time plants with unmodeled dynamics. In this paper, least squares method is used for controller parameter adaptation and covariance matrix update equation is modified by normalizing signal to guarantee the boundedness of all signals in the closed loop system. In the proposed algorithm, no a priori knowledge is required and it is shown that persistence of excitation condition is required to ensure the stability of the closed loop system.

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신경망 보상기를 이용한 PMSM의 간단한 지능형 강인 위치 제어 (Simple AI Robust Digital Position Control of PMSM using Neural Network Compensator)

  • 윤성구
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2000년도 전력전자학술대회 논문집
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    • pp.620-623
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    • 2000
  • A very simple control approach using neural network for the robust position control of a Permanent Magnet Synchronous Motor(PMSM) is presented The linear quadratic controller plus feedforward neural network is employed to obtain the robust PMSM system approximately linearized using field-orientation method for an AC servo. The neural network is trained in on-line phases and this neural network is composed by a fedforward recall and error back-propagation training. Since the total number of nodes are only eight this system can be easily realized by the general microprocessor. During the normal operation the input-output response is sampled and the weighting value is trained multi-times by error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. And the state space analysis is performed to obtain the state feedback gains systematically. IN addition the robustness is also obtained without affecting overall system response. This method is realized by a floating-point Digital Singal Processor DS1102 Board (TMS320C31) The basic DSP software is used to write C program which is compiled by using ANSI-C style function prototypes.

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신호 주입을 이용한 매입형 영구자석 동기 전동기의 단위 전류당 최대 토크 제어 (Maximum Torque per Ampere Control of IPM Machine Based on Signal Injection)

  • 김성민;설승기
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2009년도 정기총회 및 추계학술대회 논문집
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    • pp.102-104
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    • 2009
  • 매입형 영구자석 동기 전동기는 높은 효율과 빠른 동특성, 넓은 정출력 운전 영역 등의 장점 때문에 다양한 산업 분야에서 각광을 받고 있다. 특히 최대 효율 운전을 위해서 매입형 영구자석 동기기의 단위전류당 최대 토크(Maximum Torque Per Ampere, MTPA) 운전 방법에 대한 많은 연구들이 수행되어져 왔다. 이론적인 MTPA 운전점은 전동기의 제 정수에 의해 결정되는데, 매입형 영구자석 동기 전동기는 온도와 운전 영역에 따라 전동기제 정수의 변화가 극심하여 정확한 MTPA 운전을 하기 위해서는 전동기의 전 운전 영역에 대한 전동기 제정수를 미리 알고 있어야 한다. 실시간으로 전동기 제 정수를 추정하여 MTPA 운전점을 알아내는 방법도 제안되었으나 대부분 복잡한 비선형 방법이 적용되고 있다. 본 논문에서는 신호 주입 개념을 도입한 새로운 MTPA 운전 방법을 제안한다. 전류에 높은 주파수의 신호를 주입하여 그 주입된 신호에 의한 반응을 확인함으로 MTPA 운전점을 판별하게 된다. 이 방법은 전동기 제 정수 변동에 강인하며, 간단한 신호처리 과정만으로 MTPA 운전을 할 수 있다.

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다기계통 안정화를 위한 강인한 적응 퍼지 제어기 설계 (Design of Robust Adaptive Fuzzy Controller for Multi-Machine Power System)

  • 박장현;박영환;허성회;최진호;박귀태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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    • pp.615-617
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    • 1999
  • In this paper, we present a decentralized robust adaptive fuzzy controller for the transient stability and voltage regulation of a multimachine power system under a sudden fault. Power systems have uncertain dynamics due to various effects such as lightning, severe storms and equipment failure in addition to interconnections between generators. Hence a robust controller to deal with these uncertainties is needed. Simulation results show that satisfactory performance is achieved by the proposed controller.

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특이섭동 타카기-수게노 퍼지모델의 강인 ℋ 샘플치 제어 (Robust ℋ Sampled-Data Control for Takagi-Sugeno Fuzzy Model with Singular Perturbation)

  • 강형빈;문지현;이호재
    • 전기학회논문지
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    • 제65권9호
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    • pp.1524-1530
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    • 2016
  • This paper deals with a robust $H_{\infty}$ sampled-data controller design problem for nonlinear systems in Takagi-Sugeno fuzzy form with singular perturbation. The employed controller takes a state-feedback form. The design condition is represented in terms of linear matrix inequalities. A numerical examples is included to show the effectiveness of the theoretical development.

볼-빔 시스템에서의 ε-슬라이딩 평면을 이용한 강인한 제어기 설계 (Robust Control Design Using the ε-sliding Surface for Ball and Beam System)

  • 김진수;최호림
    • 전기학회논문지
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    • 제59권8호
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    • pp.1444-1448
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    • 2010
  • The ball and beam system is one of the most popular models for studying control systems because of its nonlinearity and several control techniques have been proposed. Sliding mode control is a popular robust control method which rejects the external disturbance. In this paper, we propose a robust controller using the ${\epsilon}$-sliding surface. On the ${\epsilon}$-sliding surface, the system robustness and convergence can be manipulated via a use of ${\epsilon}$. We show the stability analysis and convergence analysis on the ${\epsilon}$-sliding surface. In addition, the experimental results show the validity of the proposed controller.

부정합조건 불확실성을 갖는 비선형 시스템을 위한 새로운 강인한 적분 가변 구조 제어기 (A New Robust Integral Variable Structure Controller for Uncertain More Affine Nonlinear Systems with Mismatched Uncertainties)

  • 이정훈
    • 전기학회논문지
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    • 제59권6호
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    • pp.1173-1178
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    • 2010
  • In this note, a systematic design of a new robust nonlinear integral variable structure controller based on state dependent nonlinear form is presented for the control of uncertain more affine nonlinear systems with mismatched uncertainties and matched disturbance. After an affine uncertain nonlinear system is represented in the form of state dependent nonlinear system, a systematic design of a new robust nonlinear integral variable structure controller is presented. To be linear in the closed loop resultant dynamics and remove the reaching phase problems, the linear integral sliding surface is suggested. A corresponding control input is proposed to satisfy the closed loop exponential stability and the existence condition of the sliding mode on the linear integral sliding surface, which will be investigated in Theorem 1. Through a design example and simulation studies, the usefulness of the proposed controller is verified.

강인 적응성 슬라이딩을 이용한 PMSM 서보드라이브 시스템 제어기 (Robust Adaptive Sliding Mode Controller for PMSM Servo Drives System)

  • 박기광;한병조;김홍필;양해원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.1640_1641
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    • 2009
  • Dynamic friction and force ripple are the most predominant factors that affect the positioning accuracy of permanent magnet synchronous motor(PMSM) servo drives system, and it is desirable to compensate them in finite time with a continuous control law. In this paper, based on LuGre dynamic friction model, a robust adaptive skidding mode controller is proposed to compensate the nonlinear effect of friction and force ripple. The controller scheme consists of a PD component and a robust adaptive sliding mode controller for estimating the unknown system parameter. Using Lyapunov stability theorem, asymptotic stability analysis and position tracking performance are guaranteed. Simulation results well verify the feasibility and the effectiveness of the proposed scheme for high0precision motion trajectory tracking.

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불확실성 요소를 갖는 3D 크레인 시스템의 강인적응제어 (Robust Adaptive Control of 3D Crane Systems with Uncertainty)

  • 정상철;김동원;이형기;조현철
    • 전기학회논문지
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    • 제57권1호
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    • pp.102-108
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    • 2008
  • This paper presents robust and adaptive control method for complicated three dimensional crane systems with uncertain effect. We consider an overhead crane system in which a trolly located on its top is moved to x- and y-axis independently. We first approximate the complicated crane model through linearization approach to simply construct a PD control and then design an adaptive control system for compensating modeling error and control deviation which is feasibly occurred due to system perturbation in practice. An adaptive control scheme is analytically derived using Lyapunov stability theory for a given bound of system perturbation. We accomplish numerical simulation for evaluation of the proposed control system and demonstrate its superiority comparing with the traditional control strategy.