Open AccessApplication of FCS-MPC Model Predictive Control Strategy in High Power Multilevel NPC/H Inverter
Author(s) -
Guifeng Wang,
Chai Yan-li,
Junrong Yan,
Fei Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/5/052076
Subject(s) - model predictive control , control theory (sociology) , inverter , voltage , power (physics) , h bridge , oscillation (cell signaling) , computer science , control (management) , engineering , physics , quantum mechanics , artificial intelligence , biology , electrical engineering , genetics
Aiming at the current oscillation and delay of traditional limited control set model predictive control (FCS-MPC), an improved FCS-MPC is proposed. Eliminate current oscillation by using two adjacent voltage vectors and zero voltage vector to work together in one sampling period. In order to reduce the switching frequency, the effects of the voltage vectors are sequentially ordered to obtain an optimal voltage vector sequence (OVVS). In the high-power five-level NPC/H-bridge inverter, the modulation control experiment is carried out, and the simulation model is built by Simulink software. The simulation results verify that the proposed improved FCS-MPC model is in the high-power multi-level NPC/H inverter. Predictive control effectiveness.