Novel fixed frequency model predictive current control method based on dynamic weight

A model prediction and current control technology, applied to electrical components, output power conversion devices, AC power input conversion to DC power output, etc., can solve the impact of weakening bus voltage fluctuation control performance, weakening bus voltage fluctuations, regulation lag and other problems, to achieve the effect of rapid dynamic response, weakening influence, and good steady-state performance

Active Publication Date: 2019-04-09
TIANJIN POLYTECHNIC UNIV
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, when controlling the system, if the traditional fixed-frequency model is used to predict the current control, when the mathematical model of the system is accurate, it has the ability to respond quickly, but it cannot weaken the influence of the bus voltage fluctuation on the control performance in the steady state. The proportional resonance control (Proportional Resonant, referred to as PR) can realize the AC signal without static error tracking. Therefore, the PR control algorithm can weaken the influence of the bus voltage fluctuation on the control performance. However, the PR control algorithm has the disadvantage of adjustment lag in the dynamic process.

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
  • Novel fixed frequency model predictive current control method based on dynamic weight
  • Novel fixed frequency model predictive current control method based on dynamic weight
  • Novel fixed frequency model predictive current control method based on dynamic weight

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] When the triple converter is used as the grid-side rectifier circuit, its topology is as follows figure 1 shown. Neglecting the influence of the AC side input line resistance on the system, the figure 1 The circuit formed by unit 1 and unit 2 can be generalized, and the following relationship can be obtained:

[0042]

[0043] where U AB , U BC , U CA is the triple LVC-VSC AC side line voltage, E AB ,E BC ,E CA Input line voltage for the grid, I ai , I bi , I ci Respectively are the phase currents of each phase in the constituent unit i, U aibi , U bici , U ciai are the fundamental wave components of phase-to-phase-to-line voltage on AC sides ab, bc, and ca in component i, where i=1, 2, 3. u b1a2 , U c2b3 , U a1c3 are the voltages of the current-limiting inductors connected between the units, respectively.

[0044] According to the above analysis, it can be seen that the triple converter can be equivalent to a traditional two-level power converter, s...

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 belongs to the field of power converter control, and relates to a novel fixed frequency model predictive current control method with a dynamic variable weight. The method controls a system according to an equivalent switching circuit of a triple converter and an integrated control theory. Traditional fixed frequency model predictive current control accurately calculates a voltage vector needed at a next moment according to a discrete mathematical model of the system, thereby achieving the characteristic of fast response in a dynamic process. Due to the influence of double frequency fluctuation of DC bus voltage in a triple converter system, high control performance is not available in a steady-state process, but a proportional resonant (PR) control algorithm can realize AC signal tracking without static error in the steady-state process, but a PR control algorithm has the defect of control adjustment lag in the dynamic process. The advantages of the two control algorithmsare combined, the PR control algorithm is used as a compensating link of model predictive current control, novel fixed frequency model predictive current control based on dynamic variable weight is constructed, and a time-varying weight function m is designed according to a Gauss distribution function in a bell curve based on a d-axis current error value. According to the change rule of the function m, the two algorithms can be smoothly switched, thereby lowering the influence of frequency doubling fluctuation in DC bus voltage on the performance of a control system, and ensuring that the control system has high performance in both dynamic and steady-state processes.

Description

technical field [0001] The invention belongs to the field of power converter control, and relates to a novel fixed-frequency model predictive current control method based on dynamic weight, which can be applied to the fields of motor speed regulation, renewable energy power generation, and the like. Background technique [0002] With the improvement of the power level of the permanent magnet synchronous motor system, the topology composed of traditional power devices can no longer meet the requirements of high voltage and high power applications. In order to meet the actual engineering needs, researchers at home and abroad use multiple converter technology to combine the traditional two-level six-switch topology to form a multiple converter topology. Due to the characteristics of the topology itself, the bus voltage of the multiple converter structure has double frequency fluctuations when the system is running. Therefore, when controlling the system, if the traditional fix...

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 Applications(China)
IPC IPC(8): H02M7/217
CPCH02M7/217H02M1/0003H02M1/007
Inventor 王志强左志文谷鑫张国政李新旻
Owner TIANJIN POLYTECHNIC 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