Robust MTPA Control for Novel EV-WFSMs Based on Pure SM Observer Based Multistep Inductance Identification Strategy

Yaofei Han, Chao Gong, Guozhen Chen, Zhixun Ma, Shaofeng Chen

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Wound field synchronous motors (WFSMs) without installing slip rings and brushes are drawing increasing attention in the electric vehicle (EV) propulsion systems. To ensure high control performance of the EV-WFSMs, this article proposes a robust maximum torque per ampere (MTPA) control strategy based on a series of new sliding mode (SM) inductance observers. First, after establishing the model of a WFSM based on capacitive coupling, the current control scheme is designed for the MTPA control. Second, to eliminate the impacts of the inductance uncertainties on the MTPA control, the SM mutual inductance observer, q-axis inductance observer, and d-axis inductance observer are designed, which need to be implemented one by one. Then, the Lyapunov stability criterion is used to analyze the stability conditions for the observers. Moreover, considering that the observers are achieved by using the offline inductance information provided by the suppliers, the robustness against parameter mismatch is innovatively discussed at length, and an analytical method that can avoid estimation errors is developed. The proposed inductance identification techniques and MTPA control method are verified by both simulation and experiments, which are conducted on a 580-W three-phase WFSM drive.

Original languageEnglish
Pages (from-to)12390-12401
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Volume69
Issue number12
DOIs
StatePublished - 1 Dec 2022
Externally publishedYes

Keywords

  • Inductance identification
  • maximum torque per ampere (MTPA)
  • robustness
  • sliding mode (SM) observer
  • wound field synchronous motor (WFSM)

Fingerprint

Dive into the research topics of 'Robust MTPA Control for Novel EV-WFSMs Based on Pure SM Observer Based Multistep Inductance Identification Strategy'. Together they form a unique fingerprint.

Cite this