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

A Model Predictive Control Method for Induction Motor Based on Extended Control Set

A technology of model predictive control and asynchronous motors, which is applied in the control of generators, electromechanical brakes, electromechanical transmissions, etc., and can solve problems such as the inability to better realize the optimization of asynchronous motors

Active Publication Date: 2021-06-08
HEFEI UNIV OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The technical problem to be solved by the present invention is that none of the existing technologies can better realize the torque ripple suppression and the optimization of the calculation process of the finite control set model predictive control of the asynchronous motor

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 Model Predictive Control Method for Induction Motor Based on Extended Control Set
  • A Model Predictive Control Method for Induction Motor Based on Extended Control Set
  • A Model Predictive Control Method for Induction Motor Based on Extended Control Set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0080] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0081] Such as figure 2 As shown, a model predictive control method of asynchronous motor based on extended control set, including:

[0082] Step 1: signal collection; the collected signal includes DC side voltage U dc , stator voltage vector u s , stator current vector i s , Rotor electrical angular velocity ω r .

[0083] Furthermore, in step 1, the DC side voltage U dc , stator voltage vector u s The way to get it is:

[0084] Stator voltage vector u s The voltage vector signal generated by the motor controller operation unit directly in the digital signal processor is replaced by the value obtained by...

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 model predictive control method for an asynchronous motor based on an extended control set, and relates to the technical field of asynchronous motors, including: signal acquisition; establishing a discrete mathematical model of an asynchronous motor and a mathematical model of a full-order observer; Substituting into the model; performing delay compensation on the established model; constructing the objective function of controlling the electromagnetic torque and flux linkage of the asynchronous motor; expanding the voltage vector; selecting the optimal voltage vector; The switching state and duty cycle of the corresponding switching tube are obtained to obtain the conduction time of the switching tube, and the value of the comparison register is updated, and the switching signal of the inverter is generated by the digital signal processor to complete the generation of the voltage vector modulation signal of the inverter . The advantage is that the control set is expanded, the problem of large torque ripple is better solved, and the stability of the steady-state operation of the system is improved.

Description

technical field [0001] The invention relates to the technical field of asynchronous motors, in particular to a model predictive control method for asynchronous motors based on extended control sets. Background technique [0002] With the continuous improvement of DSP operation speed, Finite Control Set-MPC (FCS-MPC) does not need a modulator, and it does not need to comprehensively consider the prediction time domain, control time domain, and the weight of each time domain objective function. The key to its realization is the combination of the discrete characteristics of the transformer and the limited characteristics of the switch state, and it has become an important branch in the field of AC motor control. [0003] Such as figure 1 As shown, the hexagonal structure adopted, for the traditional model predictive control scheme, because the switching states of the upper and lower arms of the three-phase two-level inverter are complementary, a total of 8 basic switching sta...

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): H02P21/00H02P27/08
CPCH02P21/0003
Inventor 杨淑英刘云飞谢震张兴
Owner HEFEI UNIV OF TECH
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