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      KCI등재 SCIE SCOPUS

      A GPC-based Multi-variable PID Control Algorithm and Its Application in Anti-swing Control and Accurate Positioning Control for Bridge Cranes

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      https://www.riss.kr/link?id=A107069104

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      다국어 초록 (Multilingual Abstract)

      It is one of the key tasks for the bridge crane to achieve anti-swing control of the hook and the accurate positioning of the body to work efficiently, safely and automatically. Based on the Lagrange equation, this paper is to propose a dynamic model ...

      It is one of the key tasks for the bridge crane to achieve anti-swing control of the hook and the accurate positioning of the body to work efficiently, safely and automatically. Based on the Lagrange equation, this paper is to propose a dynamic model of the crane motion system for designing controller. In the controller design, ProportionalIntegral-Derivative (PID), the most widely used controller in engineering, is adopted and a new parameter tuning algorithm for a multi-variable PID controller based on generalized predictive control (GPC) is given. It is foundthat the multi-variable PID controller shares the same structural mathematical expressions with the GPC law, which makes for the transfer and calculation of the three parameters P, I and D, and that the new algorithm enables the traditional PID controller to perform as brilliantly as the GPC. The results of both the simulation and real-time control experiments show that the newly-proposed PID controller can effectively eliminate the swing of the hook and control the bridge cranes moving position accurately.

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      참고문헌 (Reference)

      1 Z. Sun, "Type-2 fuzzy sliding mode anti-swing controller design and optimization for overhead crane" 6 : 51931-51938, 2018

      2 R. M. Miller, "Predictive PID" 38 (38): 11-23, 1999

      3 S. Lu, "Predictive IP controller for robust position control of linear servo system" 63 : 211-217, 2016

      4 T. Sato, "Performance adaptive generalized predictive control based proportional-integral-derivative control system and its application" 136 (136): 1-9, 2014

      5 V. H. A. Ribeiro, "Multi-objective PID controller tuning for an industrial gasifier" 1-6, 2018

      6 M. Giacomelli, "MPC-PID control of operator-inthe-loop overhead cranes : a practical approach" 321-326, 2018

      7 T. Sato, "Improvement of tracking performance in self-tuning PID controller based on generalized predictive control" 2 (2): 491-503, 2006

      8 X. Li, "Hierarchical GPC-based PID control strategy for SST of USC und variable loads" 8 (8): 1-14, 2015

      9 D. W. Clark, "Generalized predictive control-Part I and II" 137-160, 1995

      10 D. G. V. da Fonseca, "Explicit GPC control applied to an approximated linearized crane system" 2019 : 1-13, 2019

      1 Z. Sun, "Type-2 fuzzy sliding mode anti-swing controller design and optimization for overhead crane" 6 : 51931-51938, 2018

      2 R. M. Miller, "Predictive PID" 38 (38): 11-23, 1999

      3 S. Lu, "Predictive IP controller for robust position control of linear servo system" 63 : 211-217, 2016

      4 T. Sato, "Performance adaptive generalized predictive control based proportional-integral-derivative control system and its application" 136 (136): 1-9, 2014

      5 V. H. A. Ribeiro, "Multi-objective PID controller tuning for an industrial gasifier" 1-6, 2018

      6 M. Giacomelli, "MPC-PID control of operator-inthe-loop overhead cranes : a practical approach" 321-326, 2018

      7 T. Sato, "Improvement of tracking performance in self-tuning PID controller based on generalized predictive control" 2 (2): 491-503, 2006

      8 X. Li, "Hierarchical GPC-based PID control strategy for SST of USC und variable loads" 8 (8): 1-14, 2015

      9 D. W. Clark, "Generalized predictive control-Part I and II" 137-160, 1995

      10 D. G. V. da Fonseca, "Explicit GPC control applied to an approximated linearized crane system" 2019 : 1-13, 2019

      11 X. Wu, "Enhanced damping-based anti-swing control method for underactuated overhead cranes" 9 (9): 1893-1900, 2015

      12 T. Sato, "Design of GPC-based PID controller for controlling a weigh feeder" 18 (18): 105-113, 2010

      13 N. S. A. Shukor, "Data-driven PID tuning based on safe experimentation dynamics for control of double-pendulum-type overhead crane" 295-303, 2018

      14 P. Mercadera, "Control PID multivariable de una caldera de vapor" 16 : 15-25, 2019

      15 Ü. Önen, "Anti-swing control of an operhead crane by using genetic algorithm based LQR" 6 (6): 21612-21616, 2017

      16 L. X. Hai, "Anti-sway tracking control of overhead crane system based on PID and fuzzy sliding mode control" 55 (55): 116-127, 2017

      17 M. J. Maghsoudi, "An optimal performance control scheme for a 3D crane" 66 (66): 756-768, 2016

      18 S. Y. S. Hussien, "An experimental of 3D gantry crane system in motion control by PID and PD controller via PFPSO optimization journal of telecommunication" 8 (8): 133-137, 2016

      19 W. Qiao, "Adaptive two-degreeof-freedom PI for speed control of permanent magnet synchronous motor based on fractional order GPC" 64 : 303-313, 2016

      20 K. Nagarajan, "A predictive hill climbing algorithm for real valued multi-variable optimization problem like PID tuning" 8 (8): 14-19, 2018

      21 Z. Sun, "A DE based PID controller for two-dimensional overhead crane" 2546-2550, 2015

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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
      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
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      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
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