FPGA-Based Model Predictive Control for Power Converters
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Model predictive control is an optimization-based control approach that uses the mathematical description of the system. The predictive controller determines an ideal input sequence by calculating an objective function including nonlinear dynamics. Even though the predictive controller usually has a large control bandwidth and good steady-state performance, it entails a high computational burden. This shortcoming is the major problem for performing the predictive control method. In this work, the real-time implementation strategy of the predictive controller using field-programmable gate array is discussed. Three different power converters are considered as case studies and the presented strategy shows the effectiveness of field-programmable gate array to decrease the required execution time. The experimental results verify the theoretical investigations and inclusive comparison results are reported for different power converter topologies.
Açıklama
IEEE 2nd Global Power, Energy and Communication Conference (GPECOM) -- OCT 20-23, 2020 -- ELECTR NETWORK
Anahtar Kelimeler
Model Predictive Control, FPGA, Power Converter, Nine-Switch Inverter, Direct Matrix Converter
Kaynak
2020 Ieee 2nd Global Power, Energy and Communication Conference (Ieee Gpecom2020)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
