A Deadbeat Predictive Current Harmonics Suppression Method for IPMSM Based on Quasi Proportional Resonant Control

Chao Du, Shuang Yang, Lin Qiu, Yue Wang, Jianghua Feng, Jien Ma, Youtong Fang, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

Abstract

Deadbeat predictive current harmonics suppression method is gifted with fast dynamicity and simple mathematical model for the interior permanent magnet synchronous motors (IPMSM). However, when low-order current harmonics are suppressed and decreased, additional high-order current harmonics are produced and increased, and it deteriorates current harmonics suppression effect. In this article, a deadbeat predictive current harmonics suppression method based on quasi-proportional resonant (QPR) control is proposed to suppress the additional increased current harmonics. Through constructing the dynamic process model, the reasons why additional high-order current harmonics are produced are analyzed. Then, QPR control is applied for the voltage fluctuation problem, which leads to the production of additional high-order current harmonics. Whereby, the influence of additional high-order current harmonics can be reduced while the current harmonics suppression effect is improved. Furthermore, the current loop stability is analyzed through the Nyquist curves, and the current harmonics suppression effect is discussed based on the amplitude-frequency response. The effectiveness of the proposed method is verified on a 17.2-kW IPMSM drive experimental platform.

Original languageEnglish
Pages (from-to)14909-14922
Number of pages14
JournalIEEE Transactions on Power Electronics
Volume39
Issue number11
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
IEEE

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A Deadbeat Predictive Current Harmonics Suppression Method for IPMSM Based on Quasi Proportional Resonant Control'. Together they form a unique fingerprint.

Cite this