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Iterative Learning Control Design with High-Order Internal Model for Permanent Magnet Linear Motor

  • Conference paper
Intelligent Computing in Smart Grid and Electrical Vehicles (ICSEE 2014, LSMS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 463))

Abstract

In this paper, an iterative learning control algorithm was proposed for improving the permanent magnet linear motor (PMLM) velocity tracking performance under iteration-varying desired trajectories. A high-order internal model (HOIM) was utilized to describe the variation of desired trajectories in the iteration domain. By incorporating the HOIM into P-type ILC, the convergence of tracking error can be guaranteed. The rigorous proof was presented to show that the system error converge well. The simulation results indicate that the proposed high-order internal models based approach yields a good performance and achieves perfect tracking.

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Author information

Authors and Affiliations

  1. College of Electrical Engineering, Zhejiang University, 310027, Hangzhou, China

    Wei Zhou, Miao Yu & Donglian Qi

  2. College of Engineering, Jiangsu Institute of Commerce, 211100, Nanjing, China

    Wei Zhou

Authors
  1. Wei Zhou
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  2. Miao Yu
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  3. Donglian Qi
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Editor information

Editors and Affiliations

  1. The Queen’s University, Belfast, UK

    Kang Li

  2. State Grid Electric Power Research Institute, Jiangsu, China

    Yusheng Xue

  3. Harbin Institute of Technology, China

    Shumei Cui

  4. Shanghai University, China

    Qun Niu

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhou, W., Yu, M., Qi, D. (2014). Iterative Learning Control Design with High-Order Internal Model for Permanent Magnet Linear Motor. In: Li, K., Xue, Y., Cui, S., Niu, Q. (eds) Intelligent Computing in Smart Grid and Electrical Vehicles. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45286-8_22

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  • DOI: https://doi.org/10.1007/978-3-662-45286-8_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45285-1

  • Online ISBN: 978-3-662-45286-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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