New Modulation Technique to Mitigate Common Mode Voltage Effects in Star-Connected Five-Phase AC Drives

Markel Fernandez, Andres Sierra-Gonzalez, Endika Robles, Iñigo Kortabarria, Edorta Ibarra, Jose Luis Martin

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Star-connected multiphase AC drives are being considered for electromovility applications such as electromechanical actuators (EMA), where high power density and fault tolerance is demanded. As for three-phase systems, common-mode voltage (CMV) is an issue for multiphase drives. CMV leads to shaft voltages between rotor and stator windings, generating bearing currents which accelerate bearing degradation and produce high electromagnetic interferences (EMI). CMV effects can be mitigated by using appropriate modulation techniques. Thus, this work proposes a new Hybrid PWM algorithm that effectively reduces CMV in five-phase AC electric drives, improving their reliability. All the mathematical background required to understand the proposal, i.e., vector transformations, vector sequences and calculation of analytical expressions for duty cycle determination are detailed. Additionally, practical details that simplify the implementation of the proposal in an FPGA are also included. This technique, HAZSL5M5-PWM, extends the linear range of the AZSL5M5-PWM modulation, providing a full linear range. Simulation results obtained in an accurate multiphase EMA model are provided, showing the validity of the proposed modulation approach.
Original languageEnglish
Article number607
Pages (from-to)607
Number of pages1
JournalEnergies
Volume13
Issue number3
DOIs
Publication statusPublished - 2020

Keywords

  • Multiphase electric drives
  • CMV
  • Modulation techniques
  • PWM

Project and Funding Information

  • Funding Info
  • This work has been supported in part by the Government of the Basque Country within the fund for research groups of the Basque University system IT978-16 and in part by the Government of the Basque Country within the research program ELKARTEK as the project ENSOL (KK-2018/00040).

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