Method for optimizing control parameters of sliding mode variable structure permanent magnet synchronous motor by particle swarm algorithm

A technology of permanent magnet synchronous motor and particle swarm algorithm, which is applied in the direction of electronically commutated motor control, motor control, motor generator control, etc., can solve problems such as difficulty in meeting speed regulation requirements, achieve stable performance, improve performance, and simple calculation Effect

Inactive Publication Date: 2019-11-22
HUAZHONG UNIV OF SCI & TECH
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional PID control algorithm is simple and reliable, and can meet the control requirements to a certain extent, but it is difficult to meet the speed regulation requirements when the external disturbance is too large or the precision is high.

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
  • Method for optimizing control parameters of sliding mode variable structure permanent magnet synchronous motor by particle swarm algorithm
  • Method for optimizing control parameters of sliding mode variable structure permanent magnet synchronous motor by particle swarm algorithm
  • Method for optimizing control parameters of sliding mode variable structure permanent magnet synchronous motor by particle swarm algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0033] The vector control system of permanent magnet synchronous motor with variable structure of sliding film based on particle swarm optimization, such as figure 1 As shown, the core part mainly includes SMC controller, PSO particle swarm optimization module, coordinate transformation module, SVPWM module, PMSM module, speed feedback module and so on.

[0034] Among them, in the design proces...

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 permanent magnet synchronous motors, and discloses a method for optimizing control parameters of a sliding mode variable structure permanent magnet synchronous motor by a particle swarm algorithm. The method comprises the following steps: (a) constructing mathematical models of d-axis and q-axis actual voltages of a to-be-optimized sliding mode variable structure permanent magnet synchronous motor about control parameters so as to obtain a q-axis rated current expression, and constructing a Simulink model of the to-be-optimized sliding mode variable structure permanent magnet synchronous motor according to the q-axis rated current expression; (b) setting a value range and an initial value of a control parameter, setting an updating principle and an ending condition of particles in a particle swarm algorithm, and obtaining an optimal control parameter by utilizing the particle swarm algorithm; wherein the updating principle is that a current controlparameter is substituted into a Simulink model to calculate an adaptive value of each particle so as to realize updating of the speed and the position of each particle. According to the invention, the robustness of the sliding mode variable structure for controlling the permanent magnet synchronous motor is improved, and buffeting is reduced.

Description

technical field [0001] The invention belongs to the field of permanent magnet synchronous motors, and more specifically relates to a method for optimizing control parameters of a synchronous film variable structure permanent magnet synchronous motor with a particle swarm algorithm. Background technique [0002] Permanent magnet synchronous motors are widely used in AC servo systems because of their advantages such as convenient use, high reliability, and superior performance. The traditional PID control algorithm is simple and reliable, and can meet the control requirements to a certain extent, but it is difficult to meet the speed regulation requirements when the external disturbance is too large or the precision requirements are high. [0003] In recent years, many modern control theories including fuzzy control and sliding mode control have been gradually applied to the speed control system of permanent magnet synchronous motor. Among them, the sliding mode variable stru...

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): H02P21/05H02P21/00
CPCH02P21/0007H02P21/05H02P2207/05
Inventor 李曦徐冬磊
Owner HUAZHONG UNIV OF SCI & 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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap