Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Double Zero Vector Model Predictive Control Method Applicable to Three-phase Grid-connected Inverters

A model predictive control and zero-vector technology, applied in adaptive control, general control system, irreversible DC power input conversion to AC power output, etc., can solve the unbalanced switching loss of the lower bridge arm, uneven heating, and influence on inverse Inverter service life and other issues, to achieve the effect of reducing the total number of switching

Active Publication Date: 2017-03-15
JINING POWER SUPPLY CO OF STATE GRID SHANDONG ELECTRIC POWER CO +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, using only one zero vector will cause the loss imbalance of the upper and lower bridge arm switches, cause uneven heating, and affect the service life of the entire inverter

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
  • A Double Zero Vector Model Predictive Control Method Applicable to Three-phase Grid-connected Inverters
  • A Double Zero Vector Model Predictive Control Method Applicable to Three-phase Grid-connected Inverters
  • A Double Zero Vector Model Predictive Control Method Applicable to Three-phase Grid-connected Inverters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] Model predictive control is a computer control method with a profound background in practical engineering applications. It adopts real-time prediction, rolling optimization and feedback correction mechanism, has good adaptability to disturbance and uncertain factors, and can achieve good control effect. The basic process of model predictive control is to first sample the system state variables and use the system model to predict, and then use the value function to calculate the optimal control signal online.

[0038] Suppose the system variable is at t k The sampling value at time is x(k), and the prediction model of the controlled system can be described as:

[0039] x(k+1)=f(x(k),u(k)) (1)

[0040] In the formula, x(k+1) is the predicted value of the system state variable, and x(k) and u(k) are the state quantity and input quantity of the co...

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 discloses a double zero-vector model predictive control method applicable to a three-phase grid-connected inverter, comprising the following steps: (1) predicting the state of the system by using the predictive model; (2) screening out the optimal switching vector by using a value function ; (3) If the optimal switch vector is a non-zero vector, then adopt its corresponding control signal; if the optimal vector is a zero vector, then select a certain zero vector according to the inequality criterion and adopt the corresponding control signal; (4) After entering the next sampling period, go to step (1). The invention selects and adopts two kinds of zero vectors by establishing a new criterion. Compared with the traditional model predictive control, the method can effectively balance the upper and lower bridge arm switching losses and reduce the number of switching times.

Description

technical field [0001] The invention relates to a double zero vector model predictive control method suitable for a three-phase grid-connected inverter. Background technique [0002] Model predictive control is a computer control method with a profound background in practical engineering applications. It adopts real-time prediction, rolling optimization and feedback correction mechanism, has good adaptability to disturbance and uncertain factors, and can achieve good control effect. The basic process of model predictive control is to first sample the system state variables and use the system model to predict, and then use the value function to calculate the optimal control signal online. [0003] Suppose the system variable is at t k The sampling value at time is x(k), and the prediction model of the controlled system can be described as: [0004] x(k+1)=f(x(k),u(k)) (1) [0005] In the formula, x(k+1) is the predicted value of the system state variable, and x(k) and u(k...

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): H02J3/38H02M7/48G05B13/04
Inventor 王彦良魏然高峰周科刘宗杰朱海鹏孔平张磊尚鹏郑凯王一飞刘印磊段文
Owner JINING POWER SUPPLY CO OF STATE GRID SHANDONG ELECTRIC POWER CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com