RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCIE SCOPUS

      Robust Digital Implementation of Fuzzy Control for Uncertain Systems and Its Application to Active Magnetic Bearing System

      한글로보기

      https://www.riss.kr/link?id=A104091245

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      In this paper, we propose the robust digital control for active magnetic bearing (AMB) systems. For achieving the robust stability, we deal with the uncertainties of the given system based on the Takagi-Sugeno (T-S) fuzzy model. Also, in order to solve the digital implementation for real plants, this paper presents a robust intelligent digital redesign (IDR) method. The term IDR involves converting an analog controller into an equivalent digital one in the sense of state-matching. The uncertainties in the plant dynamics is shown in the IDR condition by virtue of the pade and inverse-pade approximation method. Also, the robust stability property is preserved by the proposed method. The sufficient conditions for robust controller are obtained in terms of solutions to linear matrix inequalities (LMIs). Finally, simulation results for two AMB systems are demonstrated to visualize the feasibility of the proposed method.
      번역하기

      In this paper, we propose the robust digital control for active magnetic bearing (AMB) systems. For achieving the robust stability, we deal with the uncertainties of the given system based on the Takagi-Sugeno (T-S) fuzzy model. Also, in order to solv...

      In this paper, we propose the robust digital control for active magnetic bearing (AMB) systems. For achieving the robust stability, we deal with the uncertainties of the given system based on the Takagi-Sugeno (T-S) fuzzy model. Also, in order to solve the digital implementation for real plants, this paper presents a robust intelligent digital redesign (IDR) method. The term IDR involves converting an analog controller into an equivalent digital one in the sense of state-matching. The uncertainties in the plant dynamics is shown in the IDR condition by virtue of the pade and inverse-pade approximation method. Also, the robust stability property is preserved by the proposed method. The sufficient conditions for robust controller are obtained in terms of solutions to linear matrix inequalities (LMIs). Finally, simulation results for two AMB systems are demonstrated to visualize the feasibility of the proposed method.

      더보기

      참고문헌 (Reference)

      1 D. W. Kim, "Theoretical justification of approximate norm minimization method for intelligent digital redesign" 44 (44): 851-856, 200803

      2 J. Dong, "Static output feedback control synthesis for linear systems with time-invariant parametric uncertainties" 52 (52): 1930-1936, 2007

      3 T. A. Abassy, "Solving nonlinear partial differential equations using the modified variational iteration pade technique" 207 (207): 73-91, 2007

      4 H. J. Lee, "Robust load-frequency control for uncertain nonlinear power systems: A fuzzy logic approach" 176 (176): 520-3537, 2006

      5 H. J. Lee, "Robust fuzzy control of nonlinear systems with parametric uncertainties" 9 (9): 369-379, 2001

      6 S. K. Hong, "Robust fuzzy control of magnetic bearing system subject to harmonic disturbances" 8 (8): 366-371, 2000

      7 H. Du, "Robust fuzzy control of an active magnetic bearing subject to voltage saturation" 18 (18): 164-169, 2010

      8 H. C. Sung, "Robust digital control of fuzzy systems with parametric uncertainties: LMI-based digital redesign approach" 161 (161): 919-933, 2010

      9 주영훈, "Robust H∞ Control for Uncertain Nonlinear Active Magnetic Bearing Sys-tems via Takagi-Sugeno Fuzzy Models" 제어·로봇·시스템학회 8 (8): 636-646, 2010

      10 X. H. Chang, "Relaxed stabilization conditions for continuous-time Takagi-Sugeno fuzzy control system" 180 (180): 3273-3287, 2010

      1 D. W. Kim, "Theoretical justification of approximate norm minimization method for intelligent digital redesign" 44 (44): 851-856, 200803

      2 J. Dong, "Static output feedback control synthesis for linear systems with time-invariant parametric uncertainties" 52 (52): 1930-1936, 2007

      3 T. A. Abassy, "Solving nonlinear partial differential equations using the modified variational iteration pade technique" 207 (207): 73-91, 2007

      4 H. J. Lee, "Robust load-frequency control for uncertain nonlinear power systems: A fuzzy logic approach" 176 (176): 520-3537, 2006

      5 H. J. Lee, "Robust fuzzy control of nonlinear systems with parametric uncertainties" 9 (9): 369-379, 2001

      6 S. K. Hong, "Robust fuzzy control of magnetic bearing system subject to harmonic disturbances" 8 (8): 366-371, 2000

      7 H. Du, "Robust fuzzy control of an active magnetic bearing subject to voltage saturation" 18 (18): 164-169, 2010

      8 H. C. Sung, "Robust digital control of fuzzy systems with parametric uncertainties: LMI-based digital redesign approach" 161 (161): 919-933, 2010

      9 주영훈, "Robust H∞ Control for Uncertain Nonlinear Active Magnetic Bearing Sys-tems via Takagi-Sugeno Fuzzy Models" 제어·로봇·시스템학회 8 (8): 636-646, 2010

      10 X. H. Chang, "Relaxed stabilization conditions for continuous-time Takagi-Sugeno fuzzy control system" 180 (180): 3273-3287, 2010

      11 L. Xie, "Output feedback H∞ control systems with parameter uncertainties" 63 (63): 741-750, 1996

      12 C. T. Hsu, "Nonlinear control of a 3-pole active magnetic bearing system" 39 (39): 291-298, 2003

      13 H. Bleuler, "New concept for cost-effective magnetic bearing control" 30 (30): 871-876, 1994

      14 L. S. Shieh, "Model conversions of uncertain linear systems using the pade and inverse-pade method" 140 (140): 455-464, 1993

      15 T. M. Guerra, "LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno’s form" 40 (40): 823-829, 2004

      16 Y. H. Joo, "Hybrid state-space fuzzy model-based controller with dualrate sampling for digital control of chaotic systems" 7 (7): 394-408, 1999

      17 B. Ding, "Further studies on LMI-based relaxed stabilization conditions for nonlinear systems in Takagi-Sugeno’s form" 42 (42): 503-508, 2006

      18 P. K. Agarwal, "Fault-tolerant control of threepole active magnetic bearing" 36 (36): 12592-12604, 2009

      19 R. R. Humphris, "Effect of control algorithms on magnetic journal bearing properties" 108 (108): 624-632, 1986

      20 주영훈, "Design of sampled-data fuzzy-model-based control systems by using intelligent digital redesign" IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 49 (49): 509-517, 2002

      21 K. Y. Lum, "Adaptive auto centering control for an active magnetic bearing supporting a rotor with unknown mass imbalance" 4 (4): 587-597, 1996

      22 A. E. Rundell, "A sliding mode observer and controller for stabilization of rotational motion of a vertical shaft magnetic bearing" 4 (4): 598-608, 1996

      23 H. J. Lee, "A new intelligent digital redesign for T-S fuzzy systems: Global approach" 12 (12): 274-284, 2004

      24 D. Nesic, "A framework for stabilization of nonlinear sampled-data systems based on their approximate discrete-time models" 49 (49): 1103-1122, 2004

      25 Y. Y. Cao, "A descriptor system approach to robust stability analysis and controller synthesis" 49 (49): 2081-2084, 2004

      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-12-29 학회명변경 한글명 : 제어ㆍ로봇ㆍ시스템학회 -> 제어·로봇·시스템학회 KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-10-29 학회명변경 한글명 : 제어ㆍ자동화ㆍ시스템공학회 -> 제어ㆍ로봇ㆍ시스템학회
      영문명 : The Institute Of Control, Automation, And Systems Engineers, Korea -> Institute of Control, Robotics and Systems
      KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.35 0.6 1.07
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.88 0.73 0.388 0.04
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼