Loughborough University
Browse

New adaptive control strategies for open-end winding permanent magnet synchronous generator(OEW-PMSG) for wind power generation

Download (1.69 MB)
conference contribution
posted on 2021-09-24, 13:13 authored by Ning Xing, Shubo Hu, Zhengyu LinZhengyu Lin, Zheng Tan, Wenping Cao, Shady Gadoue
A wind turbine system with an new open-end-winding permanent magnet synchronous generator (OEW-PMSG) is studied in this paper, with a focus on torque ripple minimisation of the OEW-PMSG. The problem of torque ripple minimisation of OEW-PMSGs is addressed. Generally, the q-axis current injection method is employed to suppress the torque ripple. However, the third flux linkage parameters will be affected by high temperature when the machine is operating. In order to solve this problem, two sensorless adaptive control methods are presented in the following paper. The first method is based on adaptive sliding mode control and deadbeat-based predictive current control. The second method is based on model reference adaptive control with deadbeat predictive control. In these two control systems, a zero-sequence back-EMF observer (ZCBO) is used to estimate the zero-sequence back-EMF and zero-sequence current simultaneously and continuously. Meanwhile, the zero-sequence voltage which exists in the zero-sequence path and interferes the ZCBO's performance is considered. The performance of two control strategies is evaluated in MATLAB/SIMULINK environment.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020)

Pages

838-843

Source

The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020)

Publisher

Institution of Engineering and Technology

Version

  • AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020) and the definitive published version is available at https://doi.org/10.1049/icp.2021.1106.

Copyright date

2021

ISBN

9781839535420

Other identifier

Conference number: CP766

Language

  • en

Location

Online

Event dates

15th December 2020 - 17th December 2020

Depositor

Dr Zhengyu Lin. Deposit date: 25 August 2021

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC