TY - GEN

T1 - A lookup table based method for the cost function computation reduction in finite set model predctive control

AU - Lotfollahzadegan, Saeed

AU - Davari, S. Alireza

AU - Garcia, Cristian

AU - Rodriguez, Jose

PY - 2020/2

Y1 - 2020/2

N2 - Finite set model predictive control (FS-MPC) has shown the features of a simple and practical method in power electronics application. Increasing the number of the voltage vectors in FS-MPC is useful to reduce the harmonic distortion of currents, and the voltage and the torque ripple. Despite all of the advantages this method has a high computation burden. For the vector increase, due to expenses of multi-level inverters, i.e., hardware solution, the discrete space vector modulation, i.e., software solution, is used in lower power applications. Reducing the number of feasible vectors in the cost function is a challenge. In this paper, a new method is proposed for fast and easy detection of the triangle that the reference voltage vector is located. The method uses the magnitude and the phase angle of the reference voltage. By this method, the process of determining the closest three vectors is eased. The validity of the proposed method is verified by the simulation.

AB - Finite set model predictive control (FS-MPC) has shown the features of a simple and practical method in power electronics application. Increasing the number of the voltage vectors in FS-MPC is useful to reduce the harmonic distortion of currents, and the voltage and the torque ripple. Despite all of the advantages this method has a high computation burden. For the vector increase, due to expenses of multi-level inverters, i.e., hardware solution, the discrete space vector modulation, i.e., software solution, is used in lower power applications. Reducing the number of feasible vectors in the cost function is a challenge. In this paper, a new method is proposed for fast and easy detection of the triangle that the reference voltage vector is located. The method uses the magnitude and the phase angle of the reference voltage. By this method, the process of determining the closest three vectors is eased. The validity of the proposed method is verified by the simulation.

KW - Computation reduction

KW - Finite set model predictive control

KW - Virtual vectors

UR - http://www.scopus.com/inward/record.url?scp=85084149392&partnerID=8YFLogxK

U2 - 10.1109/ICIT45562.2020.9067230

DO - 10.1109/ICIT45562.2020.9067230

M3 - Conference contribution

AN - SCOPUS:85084149392

T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 1053

EP - 1058

BT - Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Conference on Industrial Technology, ICIT 2020

Y2 - 26 February 2020 through 28 February 2020

ER -