Predictive current control of a six-phase asymmetrical drive system based on parallel-connected back-to-back converters

Jaya Deepti Dasika, Jiangchao Qin, Maryam Saeedifard, Steven D. Pekarek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Parallel-connected three-phase back-to-back converters improve the fault tolerance and reduce the current rating of a six-phase asymmetrical drive system. This paper proposes a Model Predictive Control (MPC) strategy for an asymmetrical six-phase induction machine drive system that consists of two parallel connected three-phase back-to-back converters. A discrete-time mathematical model is derived that includes the parallel-connected rectifiers, inverters, and machine. Based on the derived model, an MPC strategy is developed to regulate the dc-link voltages, maintain unity power factor at the grid side, and control the current/torque of the machine. Performance of a six-phase machine operating under the MPC strategy is evaluated based on time domain simulation studies in the MATLAB /SIMULINK environment.

Original languageEnglish (US)
Title of host publication2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012
Pages137-141
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012 - Raleigh, NC, United States
Duration: Sep 15 2012Sep 20 2012

Other

Other4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012
CountryUnited States
CityRaleigh, NC
Period9/15/129/20/12

    Fingerprint

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Dasika, J. D., Qin, J., Saeedifard, M., & Pekarek, S. D. (2012). Predictive current control of a six-phase asymmetrical drive system based on parallel-connected back-to-back converters. In 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012 (pp. 137-141). [6342831] https://doi.org/10.1109/ECCE.2012.6342831