Active power filter inversion control method based on metacognitive fuzzy neural network

A technology of fuzzy neural network and power filter, applied in active power filter, AC network circuit, AC network to reduce harmonics/ripple, etc., can solve the problems of low robustness, inconvenience, system instability, etc.

Inactive Publication Date: 2018-12-28
HOHAI UNIV CHANGZHOU
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  • Claims
  • Application Information

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Problems solved by technology

However, the robustness of adaptive control to external disturbances is very low, and it is easy to make the system unstable.
[0004] This shows that above-mentioned existing active power filter obviously still has inconvenience and defect in use, and urgently needs to be further improved
In order to solve the problems existing in the use of existing active power filters, relevant manufacturers have tried their best to find a solution, but no suitable design has been developed for a long time

Method used

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  • Active power filter inversion control method based on metacognitive fuzzy neural network
  • Active power filter inversion control method based on metacognitive fuzzy neural network
  • Active power filter inversion control method based on metacognitive fuzzy neural network

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Embodiment Construction

[0083] 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.

[0084] In power grid applications, the application of three-phase alternating current accounts for the majority, so the present invention mainly studies the situation of being used in a three-phase three-wire system. Such as figure 1 is the basic circuit topology diagram of the existing three-phase three-wire parallel voltage-type active power filter, v s1 ,v s2 ,v s3 is the grid voltage, i s1 ,i s2 ,i s3 is the supply current, i L1 ,i L2 ,i L3 is the load current, v 1 ,v 2 ,v 3 is the voltage at the common connection point, i 1 ,i 2 ,i 3 is the filter output compensation current, C is the DC side capacitance, v dc is the DC side capacitor voltage, i dc is the DC side capacitor ...

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Abstract

The invention discloses an active power filter inversion control method based on a metacognitive fuzzy neural network, which includes the following procedures: S1, establishing the dynamic equation ofthe active power filter, S2, designing the control law(shown in the description), where f(>hat)(x) is the estimate obtained by using metacognitive fuzzy neural network to approximate the unknown f (x) of the system. A metacognitive method is introduce to adjust that fuzzy neural network structure on line, the fuzzy neural network structure can be adjusted dynamically according to the increase oftracking error design rules, parameter updating and rule deletion algorithm, which can improve the compensation current tracking performance and system robustness in the presence of parameter perturbation and external disturbance.

Description

technical field [0001] The invention relates to the technical field of active power filter control, in particular to an active power filter inversion control method based on a metacognition fuzzy neural network. 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 passive filters and active filters. Since the passive filter can only compensate specific harmonics and other defects, the current research on the control of electric energy problems mainly focuses on the active filter. The active filter can track and compensate the harmonics with changing frequency and amplitude. It can not only compensate each harmonic, but also suppress flicker and compen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/01
CPCH02J3/01H02J2203/20Y02E40/20
Inventor 侯世玺袁杉杉费峻涛储云迪
Owner HOHAI UNIV CHANGZHOU
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