Open AccessMultistep finite-control-set model predictive control of active power filter
Author(s) -
EnZi Bi,
Jianfeng Yang,
Yang Liu,
Xiaoqing Wang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/617/1/012039
Subject(s) - model predictive control , control theory (sociology) , compensation (psychology) , active power filter , harmonic , controller (irrigation) , filter (signal processing) , computer science , grid , ac power , pulse width modulation , control (management) , engineering , voltage , mathematics , physics , quantum mechanics , artificial intelligence , computer vision , biology , psychology , agronomy , geometry , psychoanalysis , electrical engineering
The traditional finite-control-set model predictive control (FCS-MPC) of three-phase active power filter (APF) has the problems of low compensation precision and long control delay. In order to address this problem, this paper proposes a multistep prediction compensation control method for the FCS-MPC of APF, it does not require modulation of PWM link. By utilizing the discrete mathematic model of three-phase parallel APF and keeping the advantages of traditional FCS-MPC, the prediction model is established based on the structural model of traditional FCS-MPC, the predictive controller is designed for predictive control of DC-side voltage. AC-side current and fixed switching frequency, and simulation study is also conducted. The simulation results show that the multi-step predictive control method can effectively track and compensate harmonic, reduce the harmonic component of power grid, and increase the compensation precision of parallel APF.