Dynamic PID global sliding mode control method for active power filter neural network

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

Inactive Publication Date: 2016-11-30
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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  • Dynamic PID global sliding mode control method for active power filter neural network
  • Dynamic PID global sliding mode control method for active power filter neural network
  • Dynamic PID global sliding mode control method for active power filter neural network

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Embodiment Construction

[0059] 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.

[0060] Active power filter neural network dynamic PID global sliding mode control method, such as image 3 shown, including the following steps:

[0061] 1. Establish dynamic equation of active power filter

[0062] 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:

[0063] di 1 d t = - ...

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Abstract

The invention discloses a dynamic PID global sliding mode control method for an active power filter neural network. A dynamic PID global sliding mode control system for the active power filter neural network is composed of a dynamic PID global sliding mode controller and a neural network indeterminacy estimator; global siding mode control can speed up a system response, and thus the system has good robustness during a whole response process. An integral item is introduced into the design of a sliding mode surface to restrain steady-state errors and enhancing robustness, and a buffeting phenomenon can be reduced by dynamic sliding mode control, and therefore, combination of a PID global sliding mode and a dynamic sliding mode can bring advantages of the two ones into play at the same time, transient performance and robustness of the sliding mode control system are improved and buffeting existing in sliding mode variable structure control is reduced; for unknown nondeterminacy, the neural network is added to approximate undetermined items, a switching item of the sliding mode control is converted into a continuous neural network output, the buffeting phenomenon in sliding mode control is further weakened, malfunction of an IGBT is avoided, and the system performance is optimized.

Description

technical field [0001] The invention relates to a control method for an active power filter, in particular to a neural network dynamic PID global sliding mode control method for an active power filter. 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 react...

Claims

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Application Information

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IPC IPC(8): H02J3/01
CPCH02J3/01H02J2203/20Y02E40/20
Inventor 储云迪梁霄李思扬费峻涛
Owner HOHAI UNIV CHANGZHOU
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