IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5699-d881283.html
   My bibliography  Save this article

An Improved Extended State Observer-Based Composite Nonlinear Control for Permanent Magnet Synchronous Motor Speed Regulation Systems

Author

Listed:
  • Zhiyuan Che

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Haitao Yu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Saleh Mobayen

    (Multidisciplinary Center for Infrastructure Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Murad Ali

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Chunyu Yang

    (School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Andrzej Bartoszewicz

    (Institute of Automatic Control, Lodz University of Technology, 18 Stefanowskiego St., 90-537 Lodz, Poland)

Abstract

This paper addresses the problems of an improved extended state observer (ESO)-based composite nonlinear control for the permanent magnet synchronous motor (PMSM) speed regulation systems, which is primarily constituted by a linear ESO-based feedforward compensation and nonlinear proportional feedback (NPF) control law. Firstly, by taking the parametric perturbations and external disturbances into account, a novel linear ESO is designed and analyzed to estimate the lumped disturbance, such that the system anti-disturbance performance is preserved. Meanwhile, the estimation of system state is also performed. Then, an optimal control synthesis function-based tracking differentiator (TD) is developed to arrange the transition dynamic for the reference velocity value, while its high quality differential signal is facilitated. Furthermore, an adaptive proportional control law is proposed, resulting in the eventual composite nonlinear strategy by incorporating the estimate values into the designed NPF controller. Finally, a PMSM servo system is studied to demonstrate the advantages and effectiveness of the proposed approaches.

Suggested Citation

  • Zhiyuan Che & Haitao Yu & Saleh Mobayen & Murad Ali & Chunyu Yang & Andrzej Bartoszewicz, 2022. "An Improved Extended State Observer-Based Composite Nonlinear Control for Permanent Magnet Synchronous Motor Speed Regulation Systems," Energies, MDPI, vol. 15(15), pages 1-14, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5699-:d:881283
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5699/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/15/5699/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Jinming & Qin, Liuzhen & Chen, Ni & Qian, Chen & Zheng, Siming, 2022. "Investigation on a spring-integrated mechanical power take-off system for wave energy conversion purpose," Energy, Elsevier, vol. 245(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nadège Bouchonneau & Arnaud Coutrey & Vivianne Marie Bruère & Moacyr Araújo & Alex Costa da Silva, 2023. "Finite Element Modeling and Simulation of a Submerged Wave Energy Converter System for Application to Oceanic Islands in Tropical Atlantic," Energies, MDPI, vol. 16(4), pages 1-17, February.
    2. Song, Henan & Shan, Xiaobiao & Hou, Weijie & Wang, Chang & Sun, Kaiwei & Xie, Tao, 2023. "A novel piezoelectric-based active-passive vibration isolator for low-frequency vibration system and experimental analysis of vibration isolation performance," Energy, Elsevier, vol. 278(PA).
    3. Yuanfeng Lan & Julien Croonen & Mohamed Amine Frikha & Mohamed El Baghdadi & Omar Hegazy, 2022. "A Comprehensive Performance Comparison between Segmental and Conventional Switched Reluctance Machines with Boost and Standard Converters," Energies, MDPI, vol. 16(1), pages 1-18, December.
    4. Chen, Weixing & Lin, Xiongsen & Lu, Yunfei & Li, Shaoxun & Wang, Lucai & Zhang, Yongkuang & Gao, Feng, 2023. "Design and experiment of a double-wing wave energy converter," Renewable Energy, Elsevier, vol. 202(C), pages 1497-1506.
    5. Wu, Jinming & Qian, Chen & Zheng, Siming & Chen, Ni & Xia, Dan & Göteman, Malin, 2022. "Investigation on the wave energy converter that reacts against an internal inverted pendulum," Energy, Elsevier, vol. 247(C).
    6. Fatemehsadat Mirshafiee & Emad Shahbazi & Mohadeseh Safi & Rituraj Rituraj, 2023. "Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study," Energies, MDPI, vol. 16(1), pages 1-20, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5699-:d:881283. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.