Neural network based inversion global sliding mode fuzzy control method for active power filter

A power filter and neural network technology, applied in the field of active power filter inversion global sliding mode fuzzy control method, can solve problems such as inconvenience, low robustness, and system instability, and achieve faster system response and enhanced robustness. Rodness, the effect of suppressing steady-state error

Inactive Publication Date: 2017-12-08
HOHAI UNIV CHANGZHOU
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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, a

Method used

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  • Neural network based inversion global sliding mode fuzzy control method for active power filter
  • Neural network based inversion global sliding mode fuzzy control method for active power filter
  • Neural network based inversion global sliding mode fuzzy control method for active power filter

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Embodiment Construction

[0040] 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.

[0041] The specific process of this method, such as image 3 shown, including the following steps:

[0042] Step 1. Establish the active power filter dynamic equation:

[0043] According to the circuit theory and Kirchhoff's voltage law, the mathematical model of the active power filter in the abc coordinate system can be obtained where: v 1 , v 2 , v 3 is the voltage at the common connection point, i 1 i 2 i 3 is the compensation current of the active power filter, C is the DC side capacitor, v dc is the voltage across capacitor C, L c is the AC side inductance, R c is the equivalent resistance, d nk is the switch state function, k=1,2,3.

[0044] In actual operation, the active p...

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Abstract

The invention discloses a neural network based inversion global sliding mode fuzzy control method for an active power filter. A neural network based inversion global sliding mode fuzzy control system is composed of an inversion PID global sliding mode controller, a neural network dynamic property estimator and a fuzzy uncertainty approximator. Global sliding mode control can overcome shortcomings of robustness insufficiency of an arrival mode in traditional sliding mode control and accelerates system response so as to enable the system to have robustness in the whole process of response. Due to approximation of switch function items by adopting fuzzy control, switch items of sliding mode control are converted to continuous fuzzy control output, so that chattering in sliding mode control is relieved and comparatively high self-adaptive tracking capability is achieved. Therefore, through combination of inversion PID global sliding mode control and neural network fuzzy control, advantages of inversion PID global sliding mode control and neural network fuzzy control can be fully played, transient performance and robustness of the sliding mode control system can be improved and chattering in variable structure control is reduced.

Description

technical field [0001] The invention relates to a neural network-based active power filter inversion global sliding mode fuzzy control method. 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 compensate reactive power. At the same time, the filtering characteristics ...

Claims

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Application Information

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IPC IPC(8): H02J3/01H02J3/18G06N3/04
CPCH02J3/01H02J3/1842H02J2203/20G06N3/048Y02E40/20
Inventor 储云迪梁霄李思扬费峻涛方韵梅
Owner HOHAI UNIV CHANGZHOU
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