Open AccessReference voltage vector based model predictive control for semicontrolled open‐winding flux‐switching permanent magnet generator system with a novel zero‐sequence current suppression strategy
Author(s) -
Zhao Shuangshuang,
Yu Feng,
Liu Xing,
Hua Wei
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12049
Subject(s) - control theory (sociology) , generator (circuit theory) , model predictive control , voltage , correctness , computer science , duty cycle , ac power , engineering , control (management) , power (physics) , algorithm , physics , electrical engineering , quantum mechanics , artificial intelligence
This paper studies a reference voltage vector (RVV) based model predictive control (MPC) for semicontrolled open‐winding flux‐switching permanent magnet generator (SOW‐FSPMG). Common dc bus is adopted in this configuration, thereby leading to zero‐sequence current (ZSC). The first concern of this work is put into proposing a novel ZSC suppression strategy, which is on the basis of the redundant vector pre‐selection. Secondly, a deadbeat flux control (DBFC) is adopted to calculate the RVV. Then, only 4, 3 or 2 vectors adjacent to the RVV are of interest during each sampling period, thereby decreasing the computation burden; meanwhile, a simplified cost function that evaluates the error between the RVV and the prediction voltage vectors is defined. Thirdly, the side effect of dead‐time inherent to voltage source converter (VSC) on the system's steady‐state performance is analysed and discussed. In order to properly leverage the dead‐time, a solution to regulate duty‐cycles of the dead‐time voltage vector and the selected one is studied, by which means, steady‐state performance of the system can be highly improved. Finally, experimental results are presented to verify the correctness and effectiveness of the proposed method.