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Volume 12 Issue 3
June  2015
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Wei Zhou, Miao Yu and De-Qing Huang. A High-order Internal Model Based Iterative Learning Control Scheme for Discrete Linear Time-varying Systems. International Journal of Automation and Computing, vol. 12, no. 3, pp. 330-336, 2015. https://doi.org/10.1007/s11633-015-0886-x
Citation: Wei Zhou, Miao Yu and De-Qing Huang. A High-order Internal Model Based Iterative Learning Control Scheme for Discrete Linear Time-varying Systems. International Journal of Automation and Computing, vol. 12, no. 3, pp. 330-336, 2015. https://doi.org/10.1007/s11633-015-0886-x
shu

A High-order Internal Model Based Iterative Learning Control Scheme for Discrete Linear Time-varying Systems

doi: 10.1007/s11633-015-0886-x

  • College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;

  • College of Engineering, Jiangsu Institute of Commerce, Nanjing 211100, China;

  • Department of Aeronautics, Imperial College London, London SW7 2AZ, UK

Funds:

This work was supported by National Basic Research Program of China (973 Program)(No. 2012CB316400) and National Natural Science Foundation of China (Nos. 61171034 and 61273134).

  • Received Date: 2014-04-27
  • Rev Recd Date: 2014-10-28
  • Publish Date: 2015-06-01
    Abstract
  • In this paper, an iterative learning control algorithm is proposed for discrete linear time-varying systems to track iterationvarying desired trajectories. A high-order internal model (HOIM) is utilized to describe the variation of desired trajectories in the iteration domain. In the sequel, the HOIM is incorporated into the design of learning gains. The learning convergence in the iteration axis can be guaranteed with rigorous proof. The simulation results with permanent magnet linear motors (PMLM) demonstrate that the proposed HOIM based approach yields good performance and achieves perfect tracking.

     

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