Two-Vector Model Predictive Control Method for Reducing Steady State Tracking Error

A technology of model predictive control and tracking error, which is applied in output power conversion devices, electrical components, and AC power input to DC power output, etc. It can solve the problem that the steady-state performance of the system is not optimal, and improve steady-state tracking. performance, the effect of reducing errors

Active Publication Date: 2021-07-09
CENT SOUTH UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Two-Vector Model Predictive Control Method for Reducing Steady State Tracking Error
  • Two-Vector Model Predictive Control Method for Reducing Steady State Tracking Error
  • Two-Vector Model Predictive Control Method for Reducing Steady State Tracking Error

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a two-vector model predictive control method for reducing steady-state tracking error, comprising: collecting the actual values ​​of inverter three-phase grid-connected voltage and three-phase grid-connected current, and using Clarke transformation to obtain The voltage value and current value; 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; judge the output reference voltage The large sector where the vector is located and the specific interval in the large sector; determine the optimal vector combination and the duty cycle of each vector according to the shortest distance; determine the duty cycle of the basic voltage vector of each inverter; use pulse width Modulation technology to realize the control of the system. The method of the invention adds two candidate vector combinations, reduces the error between the reference voltage vector and the composite vector, and effectively improves the current steady-state tracking performance of the system.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products