대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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신경회로망 예측제어를 이용한 ATC 제어기 설계에 관한 연구

A Study on Design of Controller for ATC using Neural Network Predictive Control

  • 손동섭 (동아대학교 전기공학과) ;
  • 이진우 (동아대학교 전기공학과) ;
  • 이영진 (항공기능대학 전기계측제어과) ;
  • 이장명 (부산대학교 전자공학과) ;
  • 이권순 (동아대학교 전기전자컴퓨터공학부)
  • Sohn, Dong-Seop (Department of Electrical Engineering, Dong-A University) ;
  • Lee, Jin-Woo (Department of Electrical Engineering, Dong-A University) ;
  • Lee, Jin-Young (Department of Electrical Instrument and Control, Korea Aviation Polytechnic College) ;
  • Lee, Jang-Myung (Department of Electronics Engineering, Pusan National University) ;
  • Lee, Kwon-Soon (Division of Electrical Electronic & Computer Engineering, Dong-A University)
  • 발행 : 2003.07.21
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초록

Recently, an automatic crane control system is required with high speed and rapid transportation. Therefore, when container is transferred from the initial coordinate to the finial coordinate, the container paths should be built in terms of the least time and without sway. Therefore, we calculated the anti-collision path for avoiding collision in its movement to the finial coordinate in this paper. And we constructed the neural network predictive two degree of freedom PID (NNPPID) controller to control the precise navigation. The proposed Predictive control system is composed of the neural network predictor, two degree of freedom PID(TDOFPID) controller, neural network self-tuner which yields parameters of TDOFPID. We analyzed crane system through simulation, and proved excellency of control performance over the conventional controllers.

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