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1st International ICST Workshop on Artificial Intelligence in Grid Computing

Research Article

Research on a New High Accuracy Controller for Periodic Motion

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  • @INPROCEEDINGS{10.1145/1577389.1577396,
        author={Ke Zhang and Kun Gao and Hui Zhang},
        title={Research on a New High Accuracy Controller for Periodic Motion},
        proceedings={1st International ICST Workshop on Artificial Intelligence in Grid Computing},
        publisher={ACM},
        proceedings_a={AIGC},
        year={2007},
        month={8},
        keywords={Grey forecasting Repetitive control PID Control system Periodic motion. Algorithms Performance Design.},
        doi={10.1145/1577389.1577396}
    }
    
  • Ke Zhang
    Kun Gao
    Hui Zhang
    Year: 2007
    Research on a New High Accuracy Controller for Periodic Motion
    AIGC
    ACM
    DOI: 10.1145/1577389.1577396
Ke Zhang1,*, Kun Gao2,*, Hui Zhang3,*
  • 1: Shanghai Institute of Technology 120 Caobao Road, 200235 Shanghai, P. R. China
  • 2: Computer Science and Information Technology College Zhejiang Wanli University No. 8 South Qianhu Road, China
  • 3: Suzhou Mingzhi Foundry Equipment Co., Ltd., SuZhou, P. R. China
*Contact email: zhangk2007@gmail.com, gaoyibo@gmail.com, zhang_hui@mingzhi-tech.com

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.

Keywords
Grey forecasting Repetitive control PID Control system Periodic motion. Algorithms Performance Design.
Published
2007-08-17
Publisher
ACM
Modified
2010-05-16
http://dx.doi.org/10.1145/1577389.1577396
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