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

Search method and online control method for current trajectory of permanent magnet synchronous motor mtpa control

A permanent magnet synchronous motor, current control technology, applied in motor control, motor generator control, control of electromechanical brakes, etc., can solve problems such as large current trajectory deviation, inability to achieve maximum torque-current ratio control, and achieve a small amount of calculation. , Accurate maximum torque current ratio control, the effect of improving running performance

Active Publication Date: 2022-07-12
HARBIN INST OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the traditional algorithm uses fixed parameter values ​​to calculate the current trajectory under MTPA control, which has a large deviation and cannot achieve accurate maximum torque-current ratio control, and provides a permanent magnet synchronous motor MTPA control current trajectory search method and online control method

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
  • Search method and online control method for current trajectory of permanent magnet synchronous motor mtpa control
  • Search method and online control method for current trajectory of permanent magnet synchronous motor mtpa control
  • Search method and online control method for current trajectory of permanent magnet synchronous motor mtpa control

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0063] Specific embodiment one: the following combination Figure 1 to Figure 4 This embodiment will be described. The method for searching the current trajectory of a permanent magnet synchronous motor MTPA control described in this embodiment includes a current angle iteration loop step and a current amplitude iteration loop step. See figure 2 shown, the objective function value I(λ in the iteration loop step of the current angle k ) and I(β k ) is obtained by calling the current amplitude iterative loop, k=1,2,3...that is, the objective function value that needs to be obtained by calling the current amplitude iterative loop is I(λ 1 ), I(β 1 ); I(λ 2 ), I(β 2 ); I(λ 3 ), I(β 3 )…, the parameter output to the current amplitude iteration loop is the current angle test point λ k , β k , when k=1, θ=λ 1 and beta 1 Two values, need to perform two iterations of current amplitude, when k=2, 3..., θ=λ k or beta k , perform an iterative cycle of current amplitude, and o...

specific Embodiment approach 2

[0138] Specific embodiment two: the following combination Figure 1 to Figure 5 This embodiment will be described, and the MTPA online control method of the permanent magnet synchronous motor described in this embodiment will be described.

[0139] The search method described in Embodiment 1 is used to obtain the current trajectories of the permanent magnet synchronous motor at a series of operating points under different magnetization states, and these current trajectories are used as sample data to train, test and verify the neural network model. The input of the MTPA neural network model is the speed, torque, voltage limit and current limit of the motor, and the output is the current amplitude and current angle (or the direct-axis current and the quadrature-axis current). The gradient of the error between the values ​​adjusts the weight and bias of each node along the reverse direction of the neural network calculation. During the training process of each sample, the weight...

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 current trajectory search method and an on-line control method for MTPA control of a permanent magnet synchronous motor, belonging to the field of motor control. In order to solve the problem that the traditional algorithm uses a fixed parameter value to calculate the current trajectory under MTPA control, there is a large deviation, and an accurate maximum torque to current ratio cannot be realized. control issues. The method of the invention is as follows: under the given torque command, rotational speed command, voltage limit, current limit and motor magnetizing state, the current operating point with the smallest current amplitude is obtained as the MTPA current trajectory; the method includes current angle iteration and current In the amplitude iteration step, the current angle iteration is performed first, and the current angle iteration direction is the direction of current amplitude reduction; in the current angle iteration process, the current amplitude iteration is nested to determine the current amplitude corresponding to each current angle, and the current The amplitude iteration direction is the decreasing direction of the error between the given torque and the actual torque. When the current angle iteration interval is less than the given current angle iteration accuracy, the current amplitude is considered to have converged to the minimum value, and the MTPA current trajectory is output.

Description

technical field [0001] The invention relates to a current trajectory search algorithm in the control of the maximum torque current ratio of a permanent magnet synchronous motor, a nonlinear flux linkage model of the permanent magnet synchronous motor, and an online maximum torque current ratio of the permanent magnet synchronous motor based on a neural network A control algorithm belongs to the field of motor control. Background technique [0002] In recent years, the number of traditional automobiles has surged, resulting in increasingly serious environmental pollution problems, and has gradually become one of the important factors aggravating global warming and the greenhouse effect. At the same time, traditional automobiles use internal combustion engines, which have a low energy conversion rate and are very dependent on non-renewable resources such as oil. The dual pressures of environmental pollution and energy crisis have prompted the traditional automobile industry to...

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): H02P6/34H02P21/14H02P21/20H02P21/22H02P25/022
CPCH02P6/34H02P21/14H02P21/141H02P21/20H02P21/22H02P21/0014H02P25/022H02P2207/05Y02T10/72
Inventor 郑萍乔光远刘勇刘法亮苑子航刘博
Owner HARBIN INST 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