TY - GEN
T1 - Control of switched-inductor quasi Z-Source Inverter (SL-qZSI) based on model predictive control technique (MPC)
AU - Bakeer, Abualkasim
AU - Ismeil, Mohamed A.
AU - Orabi, Mohamed
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/16
Y1 - 2015/6/16
N2 - Model Predictive Control (MPC) becomes more prevalent in power converters due to its faster response in tracking the reference values of the controlled variables. In this paper, the MPC is applied on the Switched-Inductor quasi Z-Source Inverter (SL-qZSI) topology. The MPC modeling for the capacitor voltage, inductor current, and output load current of the topology are designed to predict their values in the future. These prediction values are compared with the reference values to compose the cost function and then the switching state is selected to achieve the minimum cost function. The validation of the modeling is investigated by simulation under MATLAB platform. Then, it is also confirmed by experimental work using a laboratory prototype.
AB - Model Predictive Control (MPC) becomes more prevalent in power converters due to its faster response in tracking the reference values of the controlled variables. In this paper, the MPC is applied on the Switched-Inductor quasi Z-Source Inverter (SL-qZSI) topology. The MPC modeling for the capacitor voltage, inductor current, and output load current of the topology are designed to predict their values in the future. These prediction values are compared with the reference values to compose the cost function and then the switching state is selected to achieve the minimum cost function. The validation of the modeling is investigated by simulation under MATLAB platform. Then, it is also confirmed by experimental work using a laboratory prototype.
KW - Model predictive control (MPC)
KW - Sampling Time (T)
KW - Switched-Inductor quasi Z-Source Inverter (SL-qZSI)
KW - cost function g(x)
UR - https://www.scopus.com/pages/publications/84937712101
U2 - 10.1109/ICIT.2015.7125429
DO - 10.1109/ICIT.2015.7125429
M3 - Conference contribution
AN - SCOPUS:84937712101
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 2248
EP - 2253
BT - 2015 IEEE International Conference on Industrial Technology, ICIT 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Industrial Technology, ICIT 2015
Y2 - 17 March 2015 through 19 March 2015
ER -