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A self-adaptive fuzzy sliding mode rbf neural network control method for active power filter

A neural network control, power filter technology

Inactive Publication Date: 2018-03-20
HOHAI UNIV CHANGZHOU
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  • Abstract
  • Description
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Problems solved by technology

[0005] At present, there is no advanced control theory system for systematic active power filters at home and abroad. The modeling methods of active power filters vary from person to person, and the control methods adopted are also various, resulting in relatively low stability and reliability of the system. Low

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  • A self-adaptive fuzzy sliding mode rbf neural network control method for active power filter
  • A self-adaptive fuzzy sliding mode rbf neural network control method for active power filter
  • A self-adaptive fuzzy sliding mode rbf neural network control method for active power filter

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[0035] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0036] An active power filter adaptive fuzzy sliding mode RBF neural network control method mainly includes the following three steps:

[0037] Step 1, establish the mathematical model of active power filter;

[0038] Step 2, obtain adaptive fuzzy sliding mode RBF neural network controller based on fuzzy sliding mode design, including fuzzy adaptive law and RBF neural network adaptive law;

[0039] Step 3. Control the active power filter according to the adaptive fuzzy sliding mode RBF neural network controller.

[0040] In practical applications, parallel voltage-type active power filters are most widely used, and three-phase APFs account for th...

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Abstract

The invention discloses an adaptive fuzzy sliding mode RBF neural network control method for an active power filter. The control method is characterized by comprising the following steps of step 1, establishing an active power filter mathematic model; step 2, obtaining an adaptive fuzzy sliding mode RBF neural network controller based on fuzzy sliding mode design, including a fuzzy adaptive law and an RBF neural network adaptive law; and step 3, controlling the active power filter according to the adaptive fuzzy sliding mode RBF neural network controller. According to the control method, the command current can be tracked and compensated in real time; and in addition, the control method is high in reliability, high in parameter change robustness and high in stability.

Description

technical field [0001] The present invention relates to an active power filter adaptive fuzzy sliding mode RBF neural network control method, in particular to a fuzzy sliding mode based active power filter adaptive fuzzy sliding mode RBF neural network control method in three-phase parallel voltage Type active power filter control applications. Background technique [0002] Since the 1980s, with the rapid development of power electronics technology and the requirements of environment, energy, society and high efficiency, power electronics equipment and systems are moving towards high-frequency application technology (above 20kHz), hardware structure integration and modularization. (Single-chip integrated module, hybrid integrated module) and other general directions. Power electronic power conversion technology has been widely used in all aspects of modern society, industry and life. [0003] However, with the wide application of power electronic devices as the nonlinear a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/01G05B13/04
CPCG05B13/0285G05B13/04H02J3/01H02J2203/20Y02E40/20
Inventor 王腾腾雷单单曹頔费峻涛
Owner HOHAI UNIV CHANGZHOU
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