Three-level PWM rectifier model prediction control method

A technology of model predictive control and rectifier, which is applied in the direction of electrical components, high-efficiency power electronic conversion, and conversion of AC power input to DC power output, etc. It can solve the problem of ignoring the multiplicity of PWM rectifier design indicators, being fixed, and affecting the normal operation of PWM rectifiers And other issues

A technology of model predictive control and rectifier, which is applied in the direction of electrical components, high-efficiency power electronic conversion, and conversion of AC power input to DC power output, etc. It can solve the problem of ignoring the multiplicity of PWM rectifier design indicators, being fixed, and affecting the normal operation of PWM rectifiers And other issues

CN107769595AActive Publication Date: 2018-03-06CHINA UNIV OF MINING & TECH
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  • Three-level PWM rectifier model prediction control method
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  • Three-level PWM rectifier model prediction control method

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[0109] The present invention will be further described below in conjunction with accompanying drawing.

[0110] According to a three-level PWM rectifier model prediction method implemented in the present invention, the method takes a diode-clamped (Neutral Point Clamped, NPC) three-level topology as an example, figure 1 The schematic diagram of the NPC three-level PWM rectifier is given in . Among them: each phase consists of four anti-parallel power devices with forward diodes T XY (X=a,b,c; Y=1,2,3,4) and two clamping diodes D XY (X=a,b,c; Y=5,6); the DC link is composed of DC energy storage capacitor C 1 、C 2 composed in series, and C 1 、C 2 The parameters of the two are consistent, and the midpoint is defined as O; the output filter link is composed of a low-order single L-shaped filter, and the resistance R is the equivalent resistance of the internal resistance of the power switching device and the internal resistance of the inductor.

[0111] In order to establish...

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Abstract

The invention discloses a three-level PWM rectifier model prediction control method. The method includes: firstly, establishing a three-level PWM rectifier discrete prediction model, and performing state sampling on a PWM rectifier system; then predicting the state of the PWM rectifier system according to the discrete prediction model to obtain a corresponding predicted value and an expected value; calculating a value function value corresponding to each switching state, comparing the value function values one by one, and obtaining the switching state corresponding to a minimum value functionthrough screening and comparison, wherein the corresponding switching state thereof is the optimal solution of the FCS-MPC. According to the control method, the dynamic and steady-state performances of the system can be effectively enhanced, the output quality of the PWM rectifier is high, the perfectness and the adaptability of offline planning are high, the switching frequency of the system canbe effectively reduced, and the switching loss is greatly reduced.

Description

technical field [0001] The invention relates to the field of power electronics, in particular to a model predictive control method for a three-level PWM rectifier. Background technique [0002] The PWM rectifier is a necessary component for the power variable frequency drive to be connected to the power grid, and it can realize the two-way transmission of the power grid and the motor load energy. At present, the main solutions of the PWM rectifier system are roughly divided into two categories: "vector control" and "direct power control". Power regulation is the only indicator, ignoring the multiplicity of PWM rectifier design indicators in actual use; specifically, the "vector control" solution adopts a multi-loop structure, the inner and outer loop stability margins are cross-coupled, and any loop Oscillation or instability will cause the output quality of the PWM rectifier to decline, and even affect the normal operation of the PWM rectifier. The optimization index of t...

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Application Information

Patent Timeline
06 Mar 2018
Publication
CN107769595A
IPC
H02M7/219
CPC
H02M7/219; H02M1/0054; Y02B70/10
Inventors
谭国俊; 方磊