• 제목/요약/키워드: Parameter robustness

검색결과 533건 처리시간 0.024초

Improved Mold Level Control for Continuous Steel Casting by Fuzzy Logic Control

  • Kueon, Yeongseob;Xiao, Wendong
    • Transactions on Control, Automation and Systems Engineering
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    • 제1권1호
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    • pp.1-7
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    • 1999
  • This paper gives a simulation study of a new fuzzy logic control(FLC) approach for the mold level control in continuous casting processes. The proposed FLC is PID type hybridizing the conventional fuzzy PI control and Fuzzy PD control with a simplified design scheme. It is shown that, compared with the conventional control, this new control strategy can achieve superior performance for steady-state response and is more robust against process parameter variations and disturbances.

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ROTUSTNESS LMPEROVEMENT OF DIRECT DECENTRALIZSD MODEL REFERENCE ADAPTIVE CONTROL

  • Chun, Hee-Young;Park, Gwi-Tae;Park, Seung-Kyu;Seo, Sam-Jun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.856-861
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    • 1989
  • The control of a class of large scale systems formed by an arbitrary linear interconnections of linear time-invariant subsystems with unknown parameters is investigated. An approach is developed for improving the robustness of such a large scale system. In doing so, the new parameter adaptation algorithm(PAA) is used and a sufficient condition of stability is discussed by using the sector theory.

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안정한 비최소 위상 시스템의 견실한 적응제어 (Robust adaptive control for a stable nonminimum phase system)

  • 최종호;김호찬
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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    • pp.255-260
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    • 1988
  • A robust adaptive control method for a stable nonminimum phase SISO system with unmodelled dynamics is proposed. The robust parameter estimation method of the system with bounded output noise and unmodelled dynamics is employed and a parallel structure is proposed to improve the robustness of adaptive control system. The local stability of the proposed system is shown. Computer simulations are done in order to compare the performance of the proposed structure with the basic structure on various circumstance.

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두개의 표본시간을 갖는 산업용 로보트 제어 방식 (Multirate dynamic control of robotic manipulator)

  • 이종수;권욱현;최경삼
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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    • pp.298-303
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    • 1986
  • A robust and efficient dynamic control algorithm for the position control of robotic manipulators is proposed. This algorithm consists of an open loop control and a closed loop control. The former may have a larger sampling time than the latter. The robustness and efficiency of this algorithm is demonstrated by the simulation about position control of a three-link manipulator with payload and parameter uncertainty.

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극점감도를 이용한 제어기 설계 (Controller design by using pole-sensitivity)

  • 임동균;강진식;서병설
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.446-450
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    • 1990
  • In this paper, we present a method of analysing perturbed linear system by pole sensitivity defined by the rate of pole movement with respect of perturbation. Pole sensitivity give us not only the rate of pole movement but also the directional information of the pole movement. We present a method of design of a LQR by considering the pole sensitivity and show that the suggested method guarantee the stability robustness of parameter perturbation.

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A Method of Choosing a Value of the Bending Constant in Huber's M-Estimation Function

  • Park, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • 제11권2호
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    • pp.181-188
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    • 2000
  • The shape of an M-estimation function is generally determined in the sense of either/both maximizing efficiency of an M-estimator at the model or/and bounding the influence function of an M-estimator. We propose an empirical method of choosing a value of the bending constant in Huber's ${\psi}-function$, which is the most widely used M-estimation function when estimating the location parameter.

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신경망을 이용한 유도 전동기의 센서리스 속도제어 (Speed-Sensorless Vector Control of an Induction Motor Using Neural Network)

  • 김정곤;박성욱;서보혁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 하계학술대회 논문집 D
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    • pp.2149-2151
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    • 2002
  • In this paper, a novel speed estimation method of an induction motor using neural networks(NNs) is presented. The NN speed estimator is trained online by using the error backpropagation algorithm, and the training starts simultaneously with the induction motor working. The neural network based vector controller has the advantage of robustness against machine parameter variation. The simulation results using Matlab/Simulink verify the useful of the proposed method.

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열악한 지문 영상의 검증을 위한 선택적 융선 정합 기법 (Selective Ridge Matching for Poor Quality Fingerprint verification)

  • 최호석;박영태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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    • pp.9-12
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    • 2001
  • Point pattern matching schemes for finger print recognition do not guarantee robust matching performance for finger print images of poor quality. We present a finger print recognition scheme, where transformation parameter of matched ridge pairs are estimated by Hough transform and the matching hypothesis is verified by a new measure of the matching degree using selective directional information. Proposed method may exhibit extremely low FAR(False Accept Ratio) while maintaining low reject ratio even for the images of poor quality because of the robustness to the variation of minutia points.

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Application of Fuzzy Logic to Sliding Mode Control for Robot Manipulators

  • Park, Jae-Sam
    • Journal of Electrical Engineering and information Science
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    • 제2권6호
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    • pp.14-19
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    • 1997
  • In this paper, a new fuzzy sliding mode control algorithm is presented for trajectory control of robot manipulators. A fuzzy logic is applied to a sliding mode control algorithm to have the sliding mode gain adjusted continuously through fuzzy logic rules. With this scheme, te stability and the robustness of the proposed fuzzy logic control algorithm are proved and ensured by the sliding mode control law. The fuzzy logic controller requires only a few tuning parameters to adjust. Computer simulation results are given to show that the proposed algorithm can handle uncertain systems with large parameter uncertainties and external disturbances.

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이원관측기를 이용한 SRM의 가변속제어 (Variable Speed Control of Switched Reluctance Motors Using Binary Observer)

  • 신재화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 전문대학교육위원
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    • pp.161-164
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    • 2005
  • In this paper, a new estimation algorithm for the rotor speed for SRM drives is described. The algorithm is implemented by the binary observer. The stability and robustness of the binary observer for the parameter variations of the SRM are proved by variable structure control theory. Variable speed control of the SRM is accomplished by the estimated speed. Experiment results verify that the binary observer is able to estimate the speed.

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