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

doi:10.1109/ECCE.2012.6342831

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

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012
Pages	137-141
Number of pages	5
DOIs	https://doi.org/10.1109/ECCE.2012.6342831
State	Published - 2012
Event	4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012 - Raleigh, NC, United States Duration: Sep 15 2012 → Sep 20 2012

Publication series

Name	2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012

Other

Other	4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012
Country/Territory	United States
City	Raleigh, NC
Period	9/15/12 → 9/20/12

ASJC Scopus subject areas

Energy Engineering and Power Technology
Fuel Technology

Access to Document

10.1109/ECCE.2012.6342831

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). Article 6342831 (2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012). https://doi.org/10.1109/ECCE.2012.6342831

Predictive current control of a six-phase asymmetrical drive system based on parallel-connected back-to-back converters. / Dasika, Jaya Deepti; Qin, Jiangchao; Saeedifard, Maryam et al.
2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012. 2012. p. 137-141 6342831 (2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dasika, JD, Qin, J, Saeedifard, M & Pekarek, SD 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., 6342831, 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012, pp. 137-141, 4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012, Raleigh, NC, United States, 9/15/12. https://doi.org/10.1109/ECCE.2012.6342831

@inproceedings{45c248b9b24c46df8f70d04c6bc3199f,

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

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.",

author = "Dasika, {Jaya Deepti} and Jiangchao Qin and Maryam Saeedifard and Pekarek, {Steven D.}",

year = "2012",

doi = "10.1109/ECCE.2012.6342831",

language = "English (US)",

isbn = "9781467308014",

series = "2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012",

pages = "137--141",

booktitle = "2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012",

note = "4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012 ; Conference date: 15-09-2012 Through 20-09-2012",

}

TY - GEN

T1 - Predictive current control of a six-phase asymmetrical drive system based on parallel-connected back-to-back converters

AU - Dasika, Jaya Deepti

AU - Qin, Jiangchao

AU - Saeedifard, Maryam

AU - Pekarek, Steven D.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84870952924&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870952924&partnerID=8YFLogxK

U2 - 10.1109/ECCE.2012.6342831

DO - 10.1109/ECCE.2012.6342831

M3 - Conference contribution

AN - SCOPUS:84870952924

SN - 9781467308014

T3 - 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012

SP - 137

EP - 141

BT - 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012

T2 - 4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012

Y2 - 15 September 2012 through 20 September 2012

ER -

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

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this