Weighting factor design based on SVR-MOPSO for finite set MPC operated power electronic converters

• Published in: Journal of power electronics Vol. 22; no. 7; pp. 1085 - 1099
• Main Authors: Liu, Yonglu, Yang, Zhengmao, Liu, Xubin, Dan, Hanbing, Xiong, Wenjing, Ling, Tao, Su, Mei
• Format: Journal Article
• Language: Korean
• Published: 2022
• Subjects: Multi-objective particle swarm optimization (MOPSO); Support vector regression (SVR); Weighing factors design; Finite set model predictive control (FS-MPC); Voltage source converter (VSC)

Selecting weighting factors is a challenge for the finite set model predictive control (FS-MPC). Based on the support vector regression (SVR) algorithm and the multi-objective particle swarm optimization (MOPSO) algorithm, this paper proposes a new weighting factor design principle. SVR is used to e...