Research on a new high accuracy controller for periodic motion

  • Authors:
  • Ke Zhang;Kun Gao;Hui Zhang

  • Affiliations:
  • Shanghai Institute of Technology, Shanghai, P. R. China;Zhejiang Wanli University, China;Suzhou Mingzhi Foundry Equipment Co., Ltd., SuZhou, P. R. China

  • Venue:
  • First International Workshop on Artificial Intelligence in Grid Computing
  • Year:
  • 2007

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Abstract

In this paper, according to the characteristics of the periodic motion, incorporating the grey prediction, repetitive control and the conventional PID control, a design method of the Grey prediction Repetitive PID control algorithm (GRPID) is presented for the first time. The hybrid control algorithm can estimate unsure parameters and disturbance of system using grey prediction, and compensate control in terms of the prediction results, and this may improve control quality and robustness of repetitive control for controlling periodic motion. The simulation results show that this algorithm has better performances than that of the conventional repetitive control system. It indicates the control method has better application effect for motion taking on a characteristic of periodic motion.