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Two-vector model predictive control method for reducing steady-state tracking error

A technology of model predictive control and tracking error, applied in the direction of output power conversion device, electrical components, AC power input conversion to DC power output, etc., can solve the problem that the system's steady-state performance is not optimal, and achieve improved steady-state tracking performance, reduction of steady-state tracking error, effect of error reduction

Active Publication Date: 2020-03-06
CENT SOUTH UNIV
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Problems solved by technology

This method only considers the combination of vectors in the same sector, and the output vector is a local optimal value, not a global optimal value, which is likely to cause a large current tracking error, and the system's steady-state performance is not optimal.

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  • Two-vector model predictive control method for reducing steady-state tracking error
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  • Two-vector model predictive control method for reducing steady-state tracking error

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Embodiment Construction

[0025] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0026] Such as figure 1 and figure 2 As shown, embodiments of the present invention provide a two-vector model predictive control method for reducing steady-state tracking error, including:

[0027] Step 1, collect the actual values ​​of the three-phase grid-connected voltage and the three-phase grid-connected current of the inverter, and use the Clarke transformation to obtain the voltage and current values ​​in the two-phase stationary coordinate system;

[0028] Step 2, calculate the output reference voltage vector of the three-phase inverter according to the obtained voltage value and current value, and calculate the amplitude and phase angle of the output reference voltage vector;

[0029] Step 3, judging the large sector where the output referen...

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Abstract

The invention provides a two-vector model predictive control method for reducing the steady-state tracking error. The method comprises the following steps: acquiring actual values of three-phase grid-connected voltage and three-phase grid-connected current of an inverter, and obtaining a voltage value and a current value under a two-phase static coordinate system by utilizing Clark transformation;calculating an output reference voltage vector of the three-phase inverter according to the obtained voltage value and current value, and calculating amplitude and phase angle of the output referencevoltage vector; judging a large sector where the output reference voltage vector is located and a specific interval of the output reference voltage vector specifically located in the large sector; determining an optimal vector combination and duty ratio of each vector according to the shortest distance; and determining duty ratio of basic voltage vector of each inverter. The method realizes control of the system through the pulse width modulation technology. According to the method, two alternative vector combinations are added, so that the error between the reference voltage vector and the composite vector is reduced, and the current steady-state tracking performance of the system is effectively improved.

Description

technical field [0001] The invention relates to the field of electric current conversion technology and control field of power electronics, in particular to a two-vector model predictive control method for reducing steady-state tracking error. Background technique [0002] The traditional predictive control method only has a single vector action in a control cycle, and the steady-state performance of the system is poor. A large number of studies have shown that using multiple vectors in a single sampling period can effectively improve the steady-state performance of the system. Common methods include voltage space vector modulation and two-vector predictive control. The former has better steady-state performance, but the modulation process is more complicated, the calculation amount of the system is relatively large, the requirements for the CPU are relatively high, and the requirements for the switching frequency are also high. Two-vector predictive control can effectivel...

Claims

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Application Information

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IPC IPC(8): H02M7/5387
CPCH02M7/5387
Inventor 刘永露杨正茂王辉粟梅但汉兵孙尧熊文静陈希达
Owner CENT SOUTH UNIV
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