Three-Level Active Power Filter Based on Model Predictive Control

被引:6
|
作者
Gao, Hanying [1 ]
Zhang, Weihao [1 ]
Ren, Mingjie [2 ]
Liu, Xiangnan [1 ]
机构
[1] Harbin Univ Sci & Technol, Sch Elect & Elect Engn, Harbin 150080, Peoples R China
[2] Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China
基金
中国国家自然科学基金;
关键词
model predictive control; objective function; sector judgment; active power filter; small vectors; FCS-MPC; PERFORMANCE;
D O I
10.3390/electronics11091291
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The model predictive control (MPC) algorithm is used in the harmonic compensation of active power filter (APF), which has a fast dynamic response and does not require a PWM modulation model. However, this method has some shortcomings, such as the mass computing and difficult selections of weight factors. To solve these problems, this paper proposes a single objective function improved MPC algorithm based on sector judgment, which only takes the reference current and feedback current as the objective function, omits the weight coefficient setting process, and reduces the number of rolling optimization from 27 to 7, thus reducing the computing time and control complexity. The improved model predictive control is applied to APF. Finally, the simulations and experiments show that the improved MPC algorithm is accurate and efficient.
引用
收藏
页数:26
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