IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i11p3087-d181503.html
   My bibliography  Save this article

Cascaded Robust Fault-Tolerant Predictive Control for PMSM Drives

Author

Listed:
  • Fang Hu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Derong Luo

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Chengwei Luo

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Zhuo Long

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Gongping Wu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

Abstract

This paper presents a cascaded robust fault-tolerant predictive control (CRFTPC) strategy with integral terminal sliding mode observer (IT-SMO) to achieve high performance speed loop and current loop for permanent magnet synchronous motor (PMSM) drives. The modeling of PMSM considers the disturbance caused by parameter perturbation and permanent magnet demagnetization. With this model, we can derive the optimal control law of the proposed scheme, which avoids the tuning work of the weight factor effectively. This new CRFTPC strategy has a cascaded structure, external loop and internal loop, both implemented with robust fault-tolerant predictive control. In addition, a new integral terminal sliding mode observer is designed to estimate the disturbances, and thus the robustness of the proposed method can be increased significantly. Comparative simulations and experimentations verify that the proposed CRFTPC provides fast dynamic response, static-errorless speed, and current tracking, even with the system disturbance.

Suggested Citation

  • Fang Hu & Derong Luo & Chengwei Luo & Zhuo Long & Gongping Wu, 2018. "Cascaded Robust Fault-Tolerant Predictive Control for PMSM Drives," Energies, MDPI, vol. 11(11), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3087-:d:181503
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/11/3087/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/11/3087/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhimeng Rao & Wenjuan Zhang & Gongping Wu & Jian Zheng & Shoudao Huang, 2020. "Characteristic Analysis and Predictive Torque Control of the Modular Three-Phase PMSM for Low-Voltage High Power Application," Energies, MDPI, vol. 13(21), pages 1-20, October.
    2. Lynn Verkroost & Joachim Druant & Hendrik Vansompel & Frederik De Belie & Peter Sergeant, 2019. "Performance Degradation of Surface PMSMs with Demagnetization Defect under Predictive Current Control," Energies, MDPI, vol. 12(5), pages 1-20, February.
    3. Wenjuan Zhang & Gongping Wu & Zhimeng Rao & Jian Zheng & Derong Luo, 2020. "Predictive Power Control of Novel N *3-phase PM Energy Storage Motor for Urban Rail Transit," Energies, MDPI, vol. 13(7), pages 1-17, April.
    4. Wenjuan Zhang & Yu Li & Gongping Wu & Zhimeng Rao & Jian Gao & Derong Luo, 2021. "Robust Predictive Power Control of N *3-Phase PMSM for Flywheel Energy Storage Systems Application," Energies, MDPI, vol. 14(12), pages 1-17, June.
    5. Nikola Lopac & Neven Bulic & Niksa Vrkic, 2019. "Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators," Energies, MDPI, vol. 12(9), pages 1-22, April.
    6. Mingcheng Lyu & Gongping Wu & Derong Luo & Fei Rong & Shoudao Huang, 2019. "Robust Nonlinear Predictive Current Control Techniques for PMSM," Energies, MDPI, vol. 12(3), pages 1-19, 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:11:y:2018:i:11:p:3087-:d:181503. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.