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      KCI등재 SCIE SCOPUS

      Robust Tracking Control Based on Intelligent Sliding-Mode Model-Following Position Controllers for PMSM Servo Drives

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      https://www.riss.kr/link?id=A104268122

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      In this paper, an intelligent sliding-mode position controller (ISMC) for achieving favorable decoupling control and high precision position tracking performance of permanent-magnet synchronous motor (PMSM) servo drives is proposed. The intelligent position controller consists of a sliding-mode position controller (SMC) in the position feed-back loop in addition to an on-line trained fuzzy-neural-network model-following controller (FNNMFC) in the feedforward loop. The intelligent position controller combines the merits of the SMC with robust characteristics and the FNNMFC with on-line learning ability for periodic command tracking of a PMSM servo drive. The theoretical analyses of the sliding-mode position controller are described with a second order switching surface (PID) which is insensitive to parameter uncertainties and external load disturbances. To realize high dynamic performance in disturbance rejection and tracking characteristics, an on-line trained FNNMFC is proposed. The connective weights and membership functions of the FNNMFC are trained on-line according to the model-following error between the outputs of the reference model and the PMSM servo drive system. The FNNMFC generates an adaptive control signal which is added to the SMC output to attain robust model-following characteristics under different operating conditions regardless of parameter uncertainties and load disturbances. A computer simulation is developed to demonstrate the effectiveness of the proposed intelligent sliding mode position controller. The results confirm that the proposed ISMC grants robust performance and precise response to the reference model regardless of load disturbances and PMSM parameter uncertainties.
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      In this paper, an intelligent sliding-mode position controller (ISMC) for achieving favorable decoupling control and high precision position tracking performance of permanent-magnet synchronous motor (PMSM) servo drives is proposed. The intelligent po...

      In this paper, an intelligent sliding-mode position controller (ISMC) for achieving favorable decoupling control and high precision position tracking performance of permanent-magnet synchronous motor (PMSM) servo drives is proposed. The intelligent position controller consists of a sliding-mode position controller (SMC) in the position feed-back loop in addition to an on-line trained fuzzy-neural-network model-following controller (FNNMFC) in the feedforward loop. The intelligent position controller combines the merits of the SMC with robust characteristics and the FNNMFC with on-line learning ability for periodic command tracking of a PMSM servo drive. The theoretical analyses of the sliding-mode position controller are described with a second order switching surface (PID) which is insensitive to parameter uncertainties and external load disturbances. To realize high dynamic performance in disturbance rejection and tracking characteristics, an on-line trained FNNMFC is proposed. The connective weights and membership functions of the FNNMFC are trained on-line according to the model-following error between the outputs of the reference model and the PMSM servo drive system. The FNNMFC generates an adaptive control signal which is added to the SMC output to attain robust model-following characteristics under different operating conditions regardless of parameter uncertainties and load disturbances. A computer simulation is developed to demonstrate the effectiveness of the proposed intelligent sliding mode position controller. The results confirm that the proposed ISMC grants robust performance and precise response to the reference model regardless of load disturbances and PMSM parameter uncertainties.

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      참고문헌 (Reference)

      1 "Vector Control of AC Machines" Clarendon Press 1990

      2 "Sliding mode control design principles and applications to electric drives" 1993

      3 "Self-Constructing Fuzzy Neural Network Speed Controller for Permanent-Magnet Synchronous Motor Drive" 9 (9): 751-759, October2001

      4 "Robust speed control of brushless direct drive motor using integral variable structure control" 142 (142): 361-370, 1995

      5 "Robust nonlinear speed control of PM synchronous motor using adaptive and sliding mode control techniques" 145 (145): 369-376, 1998

      6 "Modern Power Electronics and AC Drives" Prentice Hall, Upper Saddle River 2002

      7 "Matlab Simulink User Guide" The Math Work Inc 1997

      8 "Intelligent Model-Following Position Control for PMSM Servo Drives" 230-238, June16-18,2005

      9 "Dynamic Simulation of Electric Machinery Using Matlab and Simulink 166 Journal of Power Electronics April 2007Robust Tracking Control Based on Intelligent Sliding-Mode 165Robust Tracking Control Based on Intelligent Sliding-Mode 159Manuscript received February" 199820072007correspondingauthor

      10 "Dynamic Simulation of Electric Machinery Using Matlab and Simulink" Printice Hall 1998

      1 "Vector Control of AC Machines" Clarendon Press 1990

      2 "Sliding mode control design principles and applications to electric drives" 1993

      3 "Self-Constructing Fuzzy Neural Network Speed Controller for Permanent-Magnet Synchronous Motor Drive" 9 (9): 751-759, October2001

      4 "Robust speed control of brushless direct drive motor using integral variable structure control" 142 (142): 361-370, 1995

      5 "Robust nonlinear speed control of PM synchronous motor using adaptive and sliding mode control techniques" 145 (145): 369-376, 1998

      6 "Modern Power Electronics and AC Drives" Prentice Hall, Upper Saddle River 2002

      7 "Matlab Simulink User Guide" The Math Work Inc 1997

      8 "Intelligent Model-Following Position Control for PMSM Servo Drives" 230-238, June16-18,2005

      9 "Dynamic Simulation of Electric Machinery Using Matlab and Simulink 166 Journal of Power Electronics April 2007Robust Tracking Control Based on Intelligent Sliding-Mode 165Robust Tracking Control Based on Intelligent Sliding-Mode 159Manuscript received February" 199820072007correspondingauthor

      10 "Dynamic Simulation of Electric Machinery Using Matlab and Simulink" Printice Hall 1998

      11 "Analysis of Electric Machinery" McGraw Hill 1986

      12 "Advanced Electric Drives: Analysis, control, and Modeling using Simulink" MNPERE Press, USA 2001

      13 "Adaptive fuzzy sliding-mode control for PM synchronous servo-motor drives" 145 (145): 63-72, 1998

      14 "A supervisory fuzzy neural network control system for tracking periodic inputs" 7 : 41-52, Feb.1999

      15 "A self-organizing fuzzy sliding-mode controller design for a class of nonlinear servo systems" 1994

      16 "A practical approach to the design of robust speed controllers for machine drives" 47 : 315-324, April2000

      17 "A model reference control structure using a fuzzy neural network" 73 : 291-312, 1995

      18 "A Vector-Controlled PMSM Drive with a Continually On-Line Learning Hybrid Neural-Network Model-Following Speed Controller" The Korean Institute of Power Electronics (KIPE) 5 (5): 197-210, April2005

      19 "A Time-Varying Sliding Surface for Robust Position Control of a DC Motor Drive" 49 (49): 462-472, April2002.

      20 "A Permanent-Magnet Synchronous Motor Servo Drive Using Self-Constructing Fuzzy Neural Network Controller" 19 (19): 66-72, March2004

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      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
      2014-10-08 학술지명변경 한글명 : 전력전자학회 영문논문지 -> Journal of Power Electronics KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.83 0.54 0.74
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.65 0.62 0.382 0.06
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