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

RBF neural network-based servo control system and method

A neural network and servo system technology, applied in the field of servo control systems, can solve the problems of low control accuracy, unsuitable for high-precision control, poor adaptability, etc., and achieve the effects of high control accuracy, convenient design work, and ensuring stability.

Inactive Publication Date: 2011-04-27
BEIHANG UNIV
View PDF0 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this traditional control method has poor adaptability, and the control accuracy is low when the system is disturbed, so it is not suitable for high-precision control occasions.

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
  • RBF neural network-based servo control system and method
  • RBF neural network-based servo control system and method
  • RBF neural network-based servo control system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] The block diagram of the servo control system according to one embodiment of the present invention is as figure 2 shown. The controller part of the system includes a feedforward controller 101 , a PID controller 102 , a neural network controller 103 and a robust term part 104 .

[0014] figure 2 The reference numeral 106 in represents the control object of the system. The most basic part of the control object 106 is the servo execution part 1061 .

[0015] As an optional embodiment, the control object 106 may further include a current feedback part 1062 and a power amplifier part 1063, such as figure 2 shown.

[0016] figure 2 The servo control system of the illustrated embodiment also includes position detection means 105 .

[0017] Now introduce respectively according to figure 2 The modules included in the servo control system of the illustrated embodiment:

[0018] 1) Feedforward controller 101

[0019] The input of the feedforward controller 101 is a ...

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 provides a neural network adaptive control method applied to a servo system in order to improve the control accuracy of the servo system, which realizes nonlinear compensation and interference suppression of the servo system and improves the tracking accuracy and the robustness of the servo system. In addition, a speed closed loop is not needed, so the entire system can be quite conveniently designed, is easy to implement in engineering and reduces the cost.

Description

technical field [0001] The present invention relates to a servo control system and method with neural network adaptive control. technical background [0002] The servo system is a complex electromechanical control system, and its essence can be regarded as a position closed-loop control system driven by a motor, which plays an important role in national production and national defense construction. Because it occupies a very important position in various fields, the requirements for its performance are constantly increasing, especially in cutting-edge fields such as national defense, military and aerospace. It can be seen from the general development trend of servo systems at home and abroad that "high response, ultra-low speed, and high precision" are its main development directions. Among them, "high frequency response" reflects the ability of the servo system to track high-frequency signals, that is, the system's tracking ability when the position command signal is const...

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): G05D3/12G05B13/02
Inventor 扈宏杰战平王林吕博王希洋
Owner BEIHANG UNIV
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