TY - GEN
T1 - Guidelines for dSPACE-based real-time implementation of predictive current control for grid-connected converters
AU - Leffler, Christopher
AU - Hemphill, Kaylub
AU - Sagg, Anthony
AU - Lee, Ryan
AU - Endsley, Christian
AU - Almuharrami, Omar
AU - Aluru, Samkruth
AU - Yaramasu, Venkata
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - This paper provides guidelines for the MATLAB-based simulation and dSPACE-based real-time implementation of predictive current control scheme for grid-connected two-level voltage source converters. A step-by-step procedure for the calculation and extrapolation of reference grid currents, and design of predictive model and cost function is provided. The predictive model uses grid voltages, grid currents, DC voltage, system parameters, and discrete-time mathematical model of the system to calculate the future values of grid currents. The cost function evaluates the error between reference and predicted grid currents and selects an optimal switching state based on the minimum error value. The proposed design and implementation approaches are validated by the simulation and experimental results. This paper serves as a valuable reference for novice readers in the model predictive control area.
AB - This paper provides guidelines for the MATLAB-based simulation and dSPACE-based real-time implementation of predictive current control scheme for grid-connected two-level voltage source converters. A step-by-step procedure for the calculation and extrapolation of reference grid currents, and design of predictive model and cost function is provided. The predictive model uses grid voltages, grid currents, DC voltage, system parameters, and discrete-time mathematical model of the system to calculate the future values of grid currents. The cost function evaluates the error between reference and predicted grid currents and selects an optimal switching state based on the minimum error value. The proposed design and implementation approaches are validated by the simulation and experimental results. This paper serves as a valuable reference for novice readers in the model predictive control area.
KW - Current control
KW - DC-AC power conversion
KW - digital control
KW - finite control-set model predictive control
KW - grid-connected converter
KW - renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85049223092&partnerID=8YFLogxK
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U2 - 10.1109/SPEC.2017.8333574
DO - 10.1109/SPEC.2017.8333574
M3 - Conference contribution
AN - SCOPUS:85049223092
T3 - Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
SP - 1
EP - 8
BT - Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
Y2 - 4 December 2017 through 7 December 2017
ER -