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Sliding mode control method of active power filter based on metacognitive fuzzy neural network

A technology of fuzzy neural network and power filter, applied in adaptive control, general control system, control/regulation system, etc., can solve problems such as inconvenience, low robustness, and system instability

Active Publication Date: 2021-07-30
HOHAI UNIV CHANGZHOU
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  • Abstract
  • Description
  • 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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  • Sliding mode control method of active power filter based on metacognitive fuzzy neural network
  • Sliding mode control method of active power filter based on metacognitive fuzzy neural network
  • Sliding mode control method of active power filter based on metacognitive fuzzy neural network

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Embodiment Construction

[0080] 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.

[0081] 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 a sliding mode control method of an active power filter based on a metacognitive fuzzy neural network, which includes the following process: S1, establishing the dynamic equation of the active power filter, S2, designing the control law as: Estimates obtained by approximating f(x) with metacognitive fuzzy neural networks. The present invention introduces a meta-cognition method to adjust the fuzzy neural network structure online, dynamically adjusts the fuzzy neural network structure according to the tracking error design rule increase, parameter update and rule deletion algorithm, and can improve the active power filter system in the presence of parameter perturbation Compensation current tracking performance and system robustness under external interference conditions.

Description

technical field [0001] The invention relates to the technical field of active power filter control, in particular to a sliding mode control method for an active power filter based on a metacognitive 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 a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 袁杉杉侯世玺费峻涛储云迪
Owner HOHAI UNIV CHANGZHOU