International Journal of Mechanical Engineering and Applications

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Adaptive Tracking Control of a PMSM-Toggle System with a Clamping Effect

Received: 30 December 2015    Accepted: 8 January 2016    Published: 21 January 2016
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Abstract

This paper discusses an adaptive control (AC) designed to track an energy-saving point-to-point (ESPTP) trajectory for a mechatronic system, which is a toggle mechanism driven by a permanent magnet synchronous motor (PMSM) with a clamping unit. To generate the PTP trajectory, we employed an adaptive real-coded genetic algorithm (ARGA) to search for the energy-saving trajectory for a PMSM-toggle system with a clamping effect. In this study, a high-degree polynomial was used, and the initial and final conditions were taken as the constraints for the trajectory. In the ARGA, the parameters of the polynomials were determined by satisfying the desired fitness function of the input energy. The proposed AC was established by the Lyapunov stability theory in the presence of a mechatronic system with uncertainties and the impact force not being exactly known. The trajectory was tracked by the AC in experimental results so as to be compared with results produced by trapezoidal and high-degree polynomials during motion.

DOI 10.11648/j.ijmea.20160401.11
Published in International Journal of Mechanical Engineering and Applications (Volume 4, Issue 1, February 2016)
Page(s) 1-10
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Adaptive Control, ARGA, Clamping Effect, Energy-Saving, Trajectory Planning

References
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[8] Lee, D. H., Lee, J. H. and Ahn, J. W., Mechanical Vibration Reduction Control of Two-Mass Permanent Magnet Synchronous Motor Using Adaptive Notch Filter with Fast Fourier Transform Analysis, IET Electric Power Applications, Vol. 6, No. 7, pp. 455-461, 2012.
[9] Cho, S. H. and Helduser, S., Robust Motion Control of a Clamp-Cylinder for Energy-Saving Injection Moulding Machines, Journal of Mechanical Science and Technology, Vol. 22, No. 12, pp. 2445-2453, 2008.
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[14] Lin, F. J., Fung, R. F. and Wai, R. J., Comparison of Sliding-Mode and Fuzzy Neural Network Control for Motor-Toggle Servomechanism, IEEE/ASME Transactions on Mechatronics, Vol. 3, No. 4, pp. 302-318, 1998.
[15] Chuang, C. W., Huang, M. S., Chen, K. Y. and Fung, R. F., Adaptive Vision-Based Control of a Motor-Toggle Mechanism: Simulations and Experiments, Journal of Sound and Vibration, Vol. 312, No. 4-5, pp. 848-861, 2008.
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  • APA Style

    Yi-Lung Hsu, Ming-Shyan Huang, Rong-Fong Fung. (2016). Adaptive Tracking Control of a PMSM-Toggle System with a Clamping Effect. International Journal of Mechanical Engineering and Applications, 4(1), 1-10. https://doi.org/10.11648/j.ijmea.20160401.11

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    ACS Style

    Yi-Lung Hsu; Ming-Shyan Huang; Rong-Fong Fung. Adaptive Tracking Control of a PMSM-Toggle System with a Clamping Effect. Int. J. Mech. Eng. Appl. 2016, 4(1), 1-10. doi: 10.11648/j.ijmea.20160401.11

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    AMA Style

    Yi-Lung Hsu, Ming-Shyan Huang, Rong-Fong Fung. Adaptive Tracking Control of a PMSM-Toggle System with a Clamping Effect. Int J Mech Eng Appl. 2016;4(1):1-10. doi: 10.11648/j.ijmea.20160401.11

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  • @article{10.11648/j.ijmea.20160401.11,
      author = {Yi-Lung Hsu and Ming-Shyan Huang and Rong-Fong Fung},
      title = {Adaptive Tracking Control of a PMSM-Toggle System with a Clamping Effect},
      journal = {International Journal of Mechanical Engineering and Applications},
      volume = {4},
      number = {1},
      pages = {1-10},
      doi = {10.11648/j.ijmea.20160401.11},
      url = {https://doi.org/10.11648/j.ijmea.20160401.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20160401.11},
      abstract = {This paper discusses an adaptive control (AC) designed to track an energy-saving point-to-point (ESPTP) trajectory for a mechatronic system, which is a toggle mechanism driven by a permanent magnet synchronous motor (PMSM) with a clamping unit. To generate the PTP trajectory, we employed an adaptive real-coded genetic algorithm (ARGA) to search for the energy-saving trajectory for a PMSM-toggle system with a clamping effect. In this study, a high-degree polynomial was used, and the initial and final conditions were taken as the constraints for the trajectory. In the ARGA, the parameters of the polynomials were determined by satisfying the desired fitness function of the input energy. The proposed AC was established by the Lyapunov stability theory in the presence of a mechatronic system with uncertainties and the impact force not being exactly known. The trajectory was tracked by the AC in experimental results so as to be compared with results produced by trapezoidal and high-degree polynomials during motion.},
     year = {2016}
    }
    

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    AU  - Yi-Lung Hsu
    AU  - Ming-Shyan Huang
    AU  - Rong-Fong Fung
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    T2  - International Journal of Mechanical Engineering and Applications
    JF  - International Journal of Mechanical Engineering and Applications
    JO  - International Journal of Mechanical Engineering and Applications
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    SN  - 2330-0248
    UR  - https://doi.org/10.11648/j.ijmea.20160401.11
    AB  - This paper discusses an adaptive control (AC) designed to track an energy-saving point-to-point (ESPTP) trajectory for a mechatronic system, which is a toggle mechanism driven by a permanent magnet synchronous motor (PMSM) with a clamping unit. To generate the PTP trajectory, we employed an adaptive real-coded genetic algorithm (ARGA) to search for the energy-saving trajectory for a PMSM-toggle system with a clamping effect. In this study, a high-degree polynomial was used, and the initial and final conditions were taken as the constraints for the trajectory. In the ARGA, the parameters of the polynomials were determined by satisfying the desired fitness function of the input energy. The proposed AC was established by the Lyapunov stability theory in the presence of a mechatronic system with uncertainties and the impact force not being exactly known. The trajectory was tracked by the AC in experimental results so as to be compared with results produced by trapezoidal and high-degree polynomials during motion.
    VL  - 4
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Author Information
  • Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan

  • Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan

  • Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan

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