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

Fuzzy Neural Network Control Method for Active Power Filter Based on Terminal Sliding Mode

A technology of fuzzy neural network and power filter, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., to improve the robustness of the system and overcome the effect of precise information of the system

Inactive Publication Date: 2017-05-10
HOHAI UNIV CHANGZHOU
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, so far, although the existing patents have studied the control of active power filters from different aspects, there is no application of adaptive fuzzy neural network and non-singular terminal sliding mode control theory for current tracking of active power filters. Control and Dynamic Compensation

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
  • Fuzzy Neural Network Control Method for Active Power Filter Based on Terminal Sliding Mode
  • Fuzzy Neural Network Control Method for Active Power Filter Based on Terminal Sliding Mode
  • Fuzzy Neural Network Control Method for Active Power Filter Based on Terminal Sliding Mode

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] The present invention will be further described below in conjunction with the accompanying drawings.

[0067] A fuzzy neural network control method for an active power filter based on a terminal sliding mode includes the following steps.

[0068] (1) Establishing an active power filter model

[0069] The active power filter (APF) main circuit structure of this embodiment is as follows figure 1 shown.

[0070] The basic working principle of the active power filter is to detect the harmonic current from the power system, and generate a compensation current that is equal to the harmonic current but opposite in polarity according to the detected harmonic current, thereby eliminating the harmonic current in the power grid. wave current.

[0071] According to circuit theory and Kirchhoff's theorem, the following three different formulas can be obtained:

[0072]

[0073] Among them, v 1 ,v 2 ,v 3 are the terminal voltages of the three-phase active power filter, i 1...

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 method for controlling a fuzzy neural network of an active power filter based on a terminal sliding mode. The method comprises the steps that firstly, a dynamical model, containing disturbance and modeling errors, of the active power filter is established, then tracking control for a directive current is guaranteed based on nonsingular inversion terminal sliding mode control strategy, self-adaptive fuzzy neural network control strategy based on the terminal sliding mode is conducted, the defect that nonsingular inversion terminal sliding mode control strategy needs accurate information of a system is overcome, and the robustness of the system is further improved. According to the self-adaptive fuzzy neural network control strategy based on the terminal sliding mode, a fuzzy neural network structure is adopted for approaching a nonsingular inversion terminal sliding mode controller, and it is guaranteed that the parameters are bounded and a closed-loop system is stable by a self adapting rule based on a projection algorithm and Lyapunov stability theory design parameters. By means of simulation experiment, the correctness and validity of the proposed strategy are verified.

Description

technical field [0001] The patent of the present invention belongs to the active power filter technology, and in particular relates to an adaptive fuzzy neural network control method for an active power filter based on terminal sliding mode. Background technique [0002] With the popularization and application of modern power electronic technology, there are more and more various power electronic devices. The working performance and service life of equipment and electrical equipment, and even endanger the safety of the power system. Currently, external filters are mainly used for treatment. Filters are divided into two types: passive filters and active power filters. Due to the defects of passive filters that can only compensate specific harmonics, the current research on the control of electric energy problems mainly focuses on active power filters. [0003] Because it is difficult to obtain the precise mathematical model of the controlled object, the traditional control ...

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): G05B13/04
Inventor 侯世玺费峻涛
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