Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Model-free current predictive control method and control system for smpmsm drive system based on online optimization of inverter reference voltage vector

A technology of reference voltage vector and drive system, applied in vector control system, motor generator control, control system and other directions, can solve the problem of insufficient current control method of SMPMSM drive system

Active Publication Date: 2020-09-15
HEFEI UNIV OF TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is in order to solve the defect that the electric vehicle SMPMSM drive system current control method is insufficient in the prior art, provide the SMPMSM drive system model-free current predictive control method and control system of inverter reference voltage vector online optimization to solve the above problems

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
  • Model-free current predictive control method and control system for smpmsm drive system based on online optimization of inverter reference voltage vector
  • Model-free current predictive control method and control system for smpmsm drive system based on online optimization of inverter reference voltage vector
  • Model-free current predictive control method and control system for smpmsm drive system based on online optimization of inverter reference voltage vector

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0090] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0091] Such as figure 2 As shown, the control system of the SMPMSM drive system model-free current predictive control method of an inverter reference voltage vector online optimization according to the present invention includes a DC power supply according to the traditional method of the prior art, and the output of the DC power supply The terminal is connected with an inverter and a voltage sensor, the output end of the inverter is connected with a current sensor and a permanent magnet synchronous motor, and a position sensor is installed on the permanent magnet synchronous motor.

[0092] Current predictive control DSP is used to directly establish the relationship between inverter reference voltage vector phase, amplitude and cos...

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 relates to a model-free current predictive control method and control system for a SMPMSM drive system with the online optimization of an inverter reference voltage vector. Compared withthe prior art, the invention solves the defect of an insufficient current control method of a SMPMSM drive system of an electric vehicle. The method comprises a step of setting a sampling period, a step of setting a current super-local prediction model, a step of obtaining analytical data, a step of calculating an analytical solution of an optimal phase of the reference voltage vector, a step ofcalculating an analytical solution of an optimal amplitude of the reference voltage vector, a step of obtaining an optimal reference voltage vector of an inverter, and continuously executing a controlmethod. According to the invention, the current dynamic and steady state performance of the SMPMSM drive system of the electric vehicle is improved, the robustness of the system is improved, and therefore, the high-performance safe operation of the SMPMSM drive system of the electric vehicle is achieved.

Description

technical field [0001] The invention relates to the technical field of SMPMSM drive systems, in particular to an SMPMSM drive system model-free current predictive control method and control system for on-line optimization of inverter reference voltage vectors. Background technique [0002] The improvement of the current control performance of the permanent magnet synchronous motor (Permanent Magnet Synchronous Motor, PMSM) drive system has always been a key technical issue in the electric drive system of electric vehicles. The key technology for accurately solving the reference voltage vector of the inverter in the Model Predictive Control (MPC) of the surface-mounted PMSM (SMPMSM) drive system is crucial for realizing the current control performance of the PMSM drive system of electric vehicles. The overall improvement of the system undoubtedly has important theoretical research significance and engineering application value. [0003] Among them, model predictive control h...

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): H02P21/22H02P27/12H02P6/17
Inventor 李红梅周亚男陈志伟马明娜苏光靖
Owner HEFEI UNIV OF TECH
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
Eureka Blog
Learn More
PatSnap group products