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Space vector modulation model voltage prediction method

A technology of space vector modulation and model voltage, which is applied in the direction of electrical components, output power conversion devices, irreversible AC power input conversion to DC power output, etc.

Active Publication Date: 2019-12-13
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

It can effectively solve the value function in the traditional model current predictive control and perform an equivalent transformation into an expression of the value function based on the output voltage

Method used

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  • Space vector modulation model voltage prediction method

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Experimental program
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Embodiment Construction

[0062] 1, a kind of space vector modulation model voltage prediction method, comprises the steps:

[0063] Step 1: Establish a mathematical model of the three-phase cascaded multilevel converter in the two-phase stationary coordinate system.

[0064] figure 1 It is a three-phase cascaded converter topology. The structure is composed of three-phase cascaded modules, namely modules a1-an, b1-bn and c1-cn; R, L are AC side line resistance and reactor; C a1 -C an ,C b1 -C bn ,C c1 -C cn is the DC side support capacitor of the three-phase cascaded module; S a1 -S a4 ,S b1 -S b4 ,S c1 -S c4 is the switching device of each module of the three phases; e a ,e b ,e c is the three-phase input voltage; i a ,i b ,i c Three-phase input current; v a ,v b ,v c Output voltage for the three-phase vector. The input voltage, current and output voltage are all defined as state variables in the three-phase stationary coordinate system.

[0065] Transform the state variables i...

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Abstract

The invention provides a space vector modulation model voltage prediction method, and belongs to the technical field of power electronics. The method comprises the steps of firstly, establishing a discrete mathematical model of a converter, and obtaining a current value at the next moment through the mathematical model and state variables such as a grid-side voltage value, a current alternating-current-side current value and an output vector voltage value; secondly, enabling the obtained current value at the next moment to be equal to a reference value, obtaining a voltage value which should be output at the current moment, and then conducting equivalent transformation on a traditional model current prediction cost function to obtain a cost function based on the output vector voltage; andfinally, combining a simplified space vector modulation algorithm to obtain that the cost function of model voltage prediction control is minimum when three duty ratios are minimum so as to achieve anexpected control target. The algorithm is simple to implement, does not need to perform cyclic optimization like the traditional model current prediction, has good flexibility and expansibility, andis suitable for engineering application.

Description

technical field [0001] The invention belongs to the technical field of power electronics. Background technique [0002] With the rapid development of micro-processing technology, model predictive control has been widely used. Model predictive control utilizes the discrete characteristics of the power converter, and predicts the results of all switching states in each control cycle according to the mathematical model of the controlled object. It has the advantages of complete internal decoupling, fast dynamic response and flexible control of multi-state variables. The traditional model predictive control needs to continuously predict the cycle at a certain moment to find the switch state that minimizes the cost function at the next moment and act on it until the next moment. However, as the number of switching states increases, the calculation time also increases, which will increase the length of the control cycle and affect the control performance of the converter. Cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02M7/12H02M7/217
CPCH02M7/12H02M7/2173H02M1/007
Inventor 舒泽亮林宏健尹涛杨江朋何黎何晓琼
Owner SOUTHWEST JIAOTONG UNIV
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