A Study on Anti-Sway of Crane using Neural Network Predictive PID Controller

Anti-Sway에 관한 연구

  • 손동섭 (동아대학교 전기공학과 대학원) ;
  • 이진우 (동아대학교 전기공학과 대학원) ;
  • 민정탁 (동아대학교 전기공학과 대학원) ;
  • 이권순 (동아대학교 저기전자컴퓨터 공학부)
  • Published : 2002.03.01


In this paper, we designed neural network predictive PID controller to control sway happened in transfer of trolley for automatic travel control system. We include dynamic character of nonlinear system, and mathematical expression veny simple used neural network. When various establishment location and surrounding disturbance were approved based on mathematical modelling of crane, controller designed to become effective control location error and vibration angle of two control variables that simultaneously can predictive control. Neural network predictive PID controller produced parameter of PID controller using neural network self-tuner. Neural network self-tuner's input used crane's output and neural network predictive output. Neural network self-tuner using error back propagation algorithm. We analyzed control performance comparison through computer simulation when applied disturbance about sway of location and angle in transfer of crane. The results show that the proposed neural network predictive PID controller has better performances than general PID controller, neural network PID controller.