Skip to main content

Research Repository

Advanced Search

A novel weighting factor determined method of model predictive torque control for permanent magnet synchronous motor

Yang, Tao; Wang, Yiming; Miao, Yiru; Xu, Qiwei; Guo, Qiang

A novel weighting factor determined method of model predictive torque control for permanent magnet synchronous motor Thumbnail


Authors

TAO YANG TAO.YANG@NOTTINGHAM.AC.UK
Professor of Aerospace Electricalsystems

Yiming Wang

Yiru Miao

Qiwei Xu

Qiang Guo



Abstract

In the cost function of model predictive torque control (MPTC) of permanent magnet synchronous motor (PMSM), torque and flux linkage have different dimensions, and the weighting factor needs to be properly adjusted to optimise the control performance. Therefore, based on the discrete mathematical model of PMSM, the torque predictive error and flux predictive error expressions are mapped to the two-phase static coordinate system, which is equivalent to the distance expressions from the endpoint of the voltage vector to the straight line and to the circle respectively. Because they have the same dimension, they can be directly superimposed to form the cost function proposed, which eliminates the selection process of the weighting factor. Then, the candidate voltage vector is substituted into the cost function in turn, and the optimal voltage vector with the minimum cost function is selected as the voltage input of the next control cycle. Finally, the simulation model and an experimental platform are established to compare the steady-state and dynamic performance of the geometric solution-based weighting factor determined method proposed with other MPTC methods.

Citation

Yang, T., Wang, Y., Miao, Y., Xu, Q., & Guo, Q. (2024). A novel weighting factor determined method of model predictive torque control for permanent magnet synchronous motor. IET Electric Power Applications, https://doi.org/10.1049/elp2.12445

Journal Article Type Article
Acceptance Date May 1, 2024
Online Publication Date Jun 10, 2024
Publication Date Jun 10, 2024
Deposit Date Sep 16, 2024
Publicly Available Date Oct 2, 2024
Journal IET Electric Power Applications
Print ISSN 1751-8660
Electronic ISSN 1751-8679
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1049/elp2.12445
Public URL https://nottingham-repository.worktribe.com/output/36560827
Publisher URL https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/elp2.12445

Files





You might also like



Downloadable Citations