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

Permanent magnet alternating current servo intelligent control system based on deterministic learning and mode control

An intelligent control system and AC servo technology, applied in the field of servo systems, can solve the problems that the PI controller is difficult to fully cope with, cannot meet the requirements, and the speed and torque performance of the permanent magnet synchronous motor are reduced, so as to improve the fast response performance, The effect of reducing the rotational speed and easily satisfying the convergence conditions

Pending Publication Date: 2020-02-21
广州鸿威技术有限公司
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These nonlinear dynamic change processes, as well as the possible resonance of the servo system during operation, will make it difficult for the PI controller commonly used in the servo system to fully cope with it, and eventually lead to the decline in the speed and torque performance of the permanent magnet synchronous motor, which cannot reach high-end CNC machine tools and robots require high-performance servo systems

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
  • Permanent magnet alternating current servo intelligent control system based on deterministic learning and mode control
  • Permanent magnet alternating current servo intelligent control system based on deterministic learning and mode control
  • Permanent magnet alternating current servo intelligent control system based on deterministic learning and mode control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be further described below with reference to the accompanying drawings and examples, and the embodiments of the present invention include but not limited to the following examples.

[0041] In the actual operation of the permanent magnet AC servo system, there are nonlinear factors such as parameter changes, fractional order characteristics, cogging torque, current harmonics and back electromotive force harmonics. The existence of these nonlinear factors will cause the speed and torque fluctuation of the permanent magnet synchronous motor, which will have a negative impact on the stable and efficient operation of the system. Since it is challenging to accurately model the nonlinear dynamic characteristics of the permanent magnet AC servo system, it does not meet the original intention of the intelligent controller design. According to the theory of deterministic learning, one can use figure 1 Shown is the intelligent control system of permane...

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 servo systems, and relates to a permanent magnet alternating current servo intelligent control system based on deterministic learning and mode control. The systemcomprises a signal detection module, a knowledge acquisition and storage module and a mode-based control module, the input end of the signal detection module is connected with a servo motor and usedfor detecting information of the servo motor, and the information is output to the knowledge acquisition and storage module and the mode-based control module; the other input end of the knowledge acquisition and storage module is from the mode-based control module to determine whether a determination learning module is accessed or not and identify the non-linear dynamics, and the result is outputto the mode-based control module; and the other output end of the mode-based control module, is transmitted to a servo motor to drive the servo motor to work. The local accurate identification on theclosed-loop dynamic state of the permanent magnet alternating current servo system under the uncertain nonlinear dynamic influence can be achieved; and moreover, the controller can be quickly switched, and the response performance of the servo system is improved.

Description

technical field [0001] The invention belongs to the field of servo systems, and relates to a permanent magnet AC servo intelligent control system based on definite learning and mode control. Background technique [0002] "High-end CNC machine tools and robots" is one of the key areas of intelligent manufacturing. For the servo system, one of the key components, the current mainstream solution is the AC servo system using permanent magnet synchronous motors. AC servo system, as the actuator of the robot and numerical control system, finally completes the action goal by controlling the position, speed, torque and combination of the permanent magnet synchronous motor. High-performance CNC machine tools, automatic assembly of production lines, etching of semiconductor wafers, precision welding of automobile production lines, wing control of remote-controlled aircraft, radar tracking systems, and modern precision strike weapons all rely on servo systems. [0003] At present, ma...

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): H02P23/00
CPCH02P23/0027
Inventor 王孝洪潘志锋江树人邓二凡高孝君王聪黄氏秋江
Owner 广州鸿威技术有限公司
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