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

Micro gyroscope super-distortion sliding mode control method based on double-feedback fuzzy neural network

A fuzzy neural network, micro-gyroscope technology, applied in adaptive control, general control system, control/regulation system, etc. Unknown and other problems, to achieve the effect of increasing the differential and integral order, smoothing the control input, and solving the chattering problem

Active Publication Date: 2019-09-20
HOHAI UNIV CHANGZHOU
View PDF10 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art, the present invention provides a micro-gyroscope super-twist sliding mode control method based on double-feedback fuzzy neural network, which solves the problem of unknown model in the gyroscope control system, and can make the design of the control system Does not rely on the precise mathematical model of the controlled object, improves the accuracy and sensitivity of the gyroscope, and enables the control system to quickly reach a stable state within a limited time, reduces control input chattering, and enhances the robustness of the control system

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
  • Micro gyroscope super-distortion sliding mode control method based on double-feedback fuzzy neural network
  • Micro gyroscope super-distortion sliding mode control method based on double-feedback fuzzy neural network
  • Micro gyroscope super-distortion sliding mode control method based on double-feedback fuzzy neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0056] A kind of micro-gyroscope super-twist sliding mode control method based on double-feedback fuzzy neural network of the present invention comprises the following processes:

[0057] Step 1, establish the dimensionless dynamic equation of the gyroscope system.

[0058]A micro gyroscope usually consists of three parts: a mass suspended by an elastic material support, an electrostatic drive device, and a sensing device. This can be simplified as figure 1 A damped oscillating system consisting of a mass and a spring is shown, which shows a simplified z-axis microgyroscope model in a Cartesian coordinate system.

[0059] According to Newton's law in the coordinate system, comprehensively con...

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 micro gyroscope super-distortion sliding mode control method based on a double-feedback fuzzy neural network, wherein a sliding mode surface is formed by fractional order nonsingular terminal sliding mode control, and a control system structure comprises a reference model, fractional order nonsingular terminal sliding mode surface design, self-adaptive law design and double-feedback fuzzy neural network approximator design. The control method is simple and easy in design and convenient to apply, further expands the application range of the micro gyroscope, can effectively control the controlled system, and enables the track tracking of the micro gyroscope system to have strong robustness, high convergence rate and high accuracy.

Description

technical field [0001] The invention relates to the technical field of micro gyroscope control, in particular to a micro gyroscope super twisted sliding mode control method based on a double feedback fuzzy neural network. Background technique [0002] Gyroscopes are fundamental measurement elements in inertial navigation and inertial guidance systems. Because of its huge advantages in cost, volume, and structure, micro gyroscopes are widely used in civil and military fields such as navigation, aerospace, aviation, and oil field survey and development, and land vehicle navigation and positioning. Because of the influence of errors and temperature in design and manufacturing, it will cause differences between the characteristics of the original and the design, resulting in a decrease in the sensitivity and accuracy of the gyroscope system. The main problem of micro gyroscope control is to compensate for manufacturing errors and measure angular velocity . After decades of res...

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): G05B13/04
CPCG05B13/042
Inventor 冯治琳费峻涛
Owner HOHAI UNIV CHANGZHOU
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