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A Dual-mode Control of a Multi-coil Electromechanical Converter Based on an Improved Bacterial Foraging Algorithm

Received: 4 August 2016    Accepted: 13 August 2016    Published: 13 September 2016
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Abstract

The objective of this research is to improve the response performance of an electro-mechanical converter (EMC), a new design of EMC provided with the bobbin of triple coils is proposed in this study. A mathematic model and a solution of searching time optimum using an improved Bacterial Foraging Algorithm (BFA) are developed, and a dual-mode controller with Bang-Bang & PI based on the proposed method is designed. Analysis and simulation results show promising effects that the response time of the triple coil EMC driven by dual-mode controller is reduced from 8.5ms to 2.5ms compared to the traditional single coil EMC, and the ringing and overshoot are below 5%. The designed control technology can realize high response performance and display good prospect of development.

Published in International Journal of Electrical Components and Energy Conversion (Volume 2, Issue 3)
DOI 10.11648/j.ijecec.20160203.11
Page(s) 15-20
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

Electromechanical Converter (EMC), Triple Coil, Bacterial Foraging Algorithm (BFA), Time Optimal Control, Bang-Bang Control

References
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[2] G. Zhang, J. Huang, X. S. Chen and R. X. Du, “Three-dimension magnetic field analysis of an electromechanical converter,” Fifth Asia International Symposium on Mechatronics, Guilin, 2015, pp. 1-5.
[3] G. Zhang, J. M Liang, C. M. Jiang, Z. P. Zhou, X. S. Chen and L. Y. Yu, “Computational fluid dynamics analysis of the air damping for an electromechanical converter,” Lecture Notes in Electrical Engineering, 2015, vol. 373, pp. 907-914.
[4] S. Zhao and K. K Tan, “Adaptive feedforward compensation of force ripples in linear motors,” Control Engineering Practice, vol. 13, no. 9, pp. 1081-1092, Sep. 2005.
[5] K. Ananthanarayanan, “Third-order theory and bang-bang control of voice coil actuators,” IEEE Transactions on Magnetics, vol. 18, no. 3, pp. 888-892, May 1982
[6] M. F. Khandaker, H. Hong and L. Rodrigues, “Modeling and controller design for a voice coil actuated engine valve,” Proceedings of the 2005 IEEE Conference on Control Applications, Toronto, Ont., 2005, pp. 1234-1239.
[7] E. Mosca, M. Baldini and P. Tesi, “Affordable predictive control of input-saturated plants and its use in hard disk drives,” IFAC Proceedings Volumes, Vol. 40, no. 1, pp. 262-267, 2007.
[8] H. Guo, D. Wang and J. Xu, “Research on a high-frequency response direct drive valve system based on voice coil motor,” IEEE Transactions on Power Electronics, vol. 28, no. 5, pp. 2483-2492, May 2013.
[9] L. W. Luo, G. Zhang, J. M. Liang, Z. K. Peng and X. S. Chen, “The characteristics study of an electro-mechanical converter based on coil segmentation technology,” Journal of Integration Technology, vol. 6, pp. 85-91, 2015.
[10] S. K. Lucas and C. Y. Kaya, “Switching-time computation for bang-bang control laws,” Proceedings of the 2001 American Control Conference, Arlington, VA, Jun. 2001, vol. 1, pp. 176-181.
[11] H. Shibasaki, H. Ogawa, R. Tanaka and Y. Ishida, “High speed activation and stopping control system using the bang-bang control for a DC motor,” IEEE International Symposium on Industrial Electronics, Taipei, Taiwan, 2013, pp. 1-6.
[12] K. M. Passino, “Biomimicry of bacterial foraging for distributed optimization and control,” IEEE Control Systems, vol. 22, no. 3, pp. 52-67, Jun 2002.
[13] K. H. You and E. B. Lee, “Robust, near time-optimal control of nonlinear second order systems with model uncertainty,” Proceedings of the 2000 IEEE International Conference on Control Applications, Anchorage, AK, 2000, pp. 232-236.
[14] B. Christiansen, H. Maurer and O. Zirn, “Optimal control of a voice-coil-motor with Columbic friction,” 47th IEEE Conference on Decision and Control, Cancun, 2008, pp. 1557-1562.
[15] Y. Q. Li, H. X. Zhou, X. K. Wang and Y. B. Chen, “Robust time-optimal control of a linear motor positioning system,” Electric Machines and Control, vol. 15, no. 3, pp. 13-18, 2011.
[16] C. Coello, “Theoretical and numerical constraint-handling techniques used with evolutionary algorithms,” Computer Methods Applied Mechanics Engineering, vol. 191, no. 11, pp. 1245-1287, Jan. 2002.
Cite This Article
  • APA Style

    Gong Zhang, Zheng Xu, Weijun Wang, Zhichen Hou, Xing Gu, et al. (2016). A Dual-mode Control of a Multi-coil Electromechanical Converter Based on an Improved Bacterial Foraging Algorithm. International Journal of Electrical Components and Energy Conversion, 2(3), 15-20. https://doi.org/10.11648/j.ijecec.20160203.11

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    ACS Style

    Gong Zhang; Zheng Xu; Weijun Wang; Zhichen Hou; Xing Gu, et al. A Dual-mode Control of a Multi-coil Electromechanical Converter Based on an Improved Bacterial Foraging Algorithm. Int. J. Electr. Compon. Energy Convers. 2016, 2(3), 15-20. doi: 10.11648/j.ijecec.20160203.11

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    AMA Style

    Gong Zhang, Zheng Xu, Weijun Wang, Zhichen Hou, Xing Gu, et al. A Dual-mode Control of a Multi-coil Electromechanical Converter Based on an Improved Bacterial Foraging Algorithm. Int J Electr Compon Energy Convers. 2016;2(3):15-20. doi: 10.11648/j.ijecec.20160203.11

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  • @article{10.11648/j.ijecec.20160203.11,
      author = {Gong Zhang and Zheng Xu and Weijun Wang and Zhichen Hou and Xing Gu and Songsong Liang and Ning Lin and Yunpeng Guo},
      title = {A Dual-mode Control of a Multi-coil Electromechanical Converter Based on an Improved Bacterial Foraging Algorithm},
      journal = {International Journal of Electrical Components and Energy Conversion},
      volume = {2},
      number = {3},
      pages = {15-20},
      doi = {10.11648/j.ijecec.20160203.11},
      url = {https://doi.org/10.11648/j.ijecec.20160203.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecec.20160203.11},
      abstract = {The objective of this research is to improve the response performance of an electro-mechanical converter (EMC), a new design of EMC provided with the bobbin of triple coils is proposed in this study. A mathematic model and a solution of searching time optimum using an improved Bacterial Foraging Algorithm (BFA) are developed, and a dual-mode controller with Bang-Bang & PI based on the proposed method is designed. Analysis and simulation results show promising effects that the response time of the triple coil EMC driven by dual-mode controller is reduced from 8.5ms to 2.5ms compared to the traditional single coil EMC, and the ringing and overshoot are below 5%. The designed control technology can realize high response performance and display good prospect of development.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - A Dual-mode Control of a Multi-coil Electromechanical Converter Based on an Improved Bacterial Foraging Algorithm
    AU  - Gong Zhang
    AU  - Zheng Xu
    AU  - Weijun Wang
    AU  - Zhichen Hou
    AU  - Xing Gu
    AU  - Songsong Liang
    AU  - Ning Lin
    AU  - Yunpeng Guo
    Y1  - 2016/09/13
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijecec.20160203.11
    DO  - 10.11648/j.ijecec.20160203.11
    T2  - International Journal of Electrical Components and Energy Conversion
    JF  - International Journal of Electrical Components and Energy Conversion
    JO  - International Journal of Electrical Components and Energy Conversion
    SP  - 15
    EP  - 20
    PB  - Science Publishing Group
    SN  - 2469-8059
    UR  - https://doi.org/10.11648/j.ijecec.20160203.11
    AB  - The objective of this research is to improve the response performance of an electro-mechanical converter (EMC), a new design of EMC provided with the bobbin of triple coils is proposed in this study. A mathematic model and a solution of searching time optimum using an improved Bacterial Foraging Algorithm (BFA) are developed, and a dual-mode controller with Bang-Bang & PI based on the proposed method is designed. Analysis and simulation results show promising effects that the response time of the triple coil EMC driven by dual-mode controller is reduced from 8.5ms to 2.5ms compared to the traditional single coil EMC, and the ringing and overshoot are below 5%. The designed control technology can realize high response performance and display good prospect of development.
    VL  - 2
    IS  - 3
    ER  - 

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Author Information
  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China; Shenzhen Institute of Advanced Technology, Shenzhen, China

  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China

  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China; Shenzhen Institute of Advanced Technology, Shenzhen, China

  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China

  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China

  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China

  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China

  • uangzhou Institute of Advanced Technology, Chinese Academy of Science, Guangzhou, China

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