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Finite Control Set Model Prediction Control Method for Single Objective Three-Level Active Filter

A finite control set and model prediction technology, applied in active power filtering, circuit devices, AC network circuits, etc., can solve the problems of difficult selection of weight factors, large amount of calculation of weight factors, and influence on control dynamic performance. The amount of calculation, reducing the number of switch states, and improving the effect of dynamic response

Active Publication Date: 2019-08-30
HEFEI UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the large amount of calculation of weight factor setting, it is generally difficult to select the value of weight factor in practical applications.
At the same time, too many constraints will introduce a large amount of calculation, which will affect the dynamic performance of the control

Method used

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  • Finite Control Set Model Prediction Control Method for Single Objective Three-Level Active Filter
  • Finite Control Set Model Prediction Control Method for Single Objective Three-Level Active Filter
  • Finite Control Set Model Prediction Control Method for Single Objective Three-Level Active Filter

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Embodiment Construction

[0037] The main circuit topology of the three-level APF in this embodiment is as follows figure 1As shown, the three-level APF refers to the three-level active filter. The main circuit structure of the three-level APF includes: DC side capacitor C1 and capacitor C2, T j1 ~T j4 It is twelve IGBT switch tubes, where j=a, b, c, D 1 ~D 6 is six anti-parallel diodes, L is a three-phase output inductor, ignoring the resistance of the inductor itself, there are 27 different switch state combinations in three-level APF.

[0038] This embodiment is aimed at the three control objectives of three-level APF harmonic current compensation, DC side voltage stability and DC side midpoint potential balance, and only uses output current as a constraint item to achieve optimal control of the control objectives.

[0039] In this embodiment, the finite control set model prediction single-target three-level active filter control method includes:

[0040] A1: Realize the control of harmonic curr...

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Abstract

The invention discloses a simple-target three-level active power filter control method based on finite control set model prediction. The simple-target three-level active power filter control method based on finite control set model prediction is characterized by performing optimization and integration on the implementation method of three control targets: harmonic current compensation, direct current side voltage stabilization and direct current side midpoint potential balancing of a three-level active power filter; and realizing optimization control of the three control targets only by taking the output current as a constraint term in a constraint function. The simple-target three-level active power filter control method based on finite control set model prediction simplifies the constraint function, saves selection of the weighting factor in the constraint function, reduces the computational complexity brought by weighting factor setting and computation of multiple constraint terms, improves dynamic response of the system, and realizes balancing control of multiple targets.

Description

technical field [0001] The present invention relates to the field of Active Power Filter (APF) control, in particular to a novel three-level APF single-objective control based on Finite Control Set Model Predictive Control (FCS-MPC) Optimal control method. Background technique [0002] Since Model Predictive Control (MPC) was proposed in the 1970s, after decades of development, it has developed from an initial industrial application to an effective method for solving multidisciplinary constraint optimization control problems. The finite control set model predictive control (FCS-MPC) formed by controlling a finite number of system switch states to solve the target optimization problem is based on a limited set of switch states of the system, according to the established system prediction model and the designed target constraints function, iterates through and calculates the system output under the action of all switch states, and selects the switch state that minimizes the v...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/01
CPCH02J3/01H02J2203/20Y02E40/20
Inventor 张国荣彭勃解润生王啸飞李智
Owner HEFEI UNIV OF TECH
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