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An Accelerated Error Convergence Design Criterion and Implementation of Lebesgue-p Norm ILC Control Topology for Linear Position Control Systems

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Listed:
  • Saleem Riaz
  • Hui Lin
  • Muhammad Waqas
  • Farkhanda Afzal
  • Kai Wang
  • Nasir Saeed

Abstract

Traditional and typical iterative learning control algorithm shows that the convergence rate of error is very low for a class of regular linear systems. A fast iterative learning control algorithm is designed to deal with this problem in this paper. The algorithm is based on the traditional P-type iterative learning control law, which increases the composition of adjacent two overlapping quantities, the tracking error of previous cycle difference signals, and the current error difference. Using convolution to promote Young inequalities proved strictly that, in terms of Lebesgue-p norm, when the number of iterations tends to infinity, the tracking error converges to zero in the system and presents the convergence condition of the algorithm. Compared with the traditional P-type iterative learning control algorithm, the proposed algorithm improves convergence speed and evades the defect using the norm metric’s tracking error. Finally, the validation of the effectiveness of the proposed algorithm is further proved by simulation results.

Suggested Citation

  • Saleem Riaz & Hui Lin & Muhammad Waqas & Farkhanda Afzal & Kai Wang & Nasir Saeed, 2021. "An Accelerated Error Convergence Design Criterion and Implementation of Lebesgue-p Norm ILC Control Topology for Linear Position Control Systems," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, November.
  • Handle: RePEc:hin:jnlmpe:5975158
    DOI: 10.1155/2021/5975158
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    Cited by:

    1. Bingqiang Li & Saleem Riaz & Yiyun Zhao, 2023. "Experimental Validation of Iterative Learning Control for DC/DC Power Converters," Energies, MDPI, vol. 16(18), pages 1-16, September.
    2. Chun-Wu Yin & Saleem Riaz & Haider Zaman & Nasim Ullah & Vojtech Blazek & Lukas Prokop & Stanislav Misak, 2022. "A Novel Predefined Time PD-Type ILC Paradigm for Nonlinear Systems," Mathematics, MDPI, vol. 11(1), pages 1-19, December.

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