Active power filter FNN control method based on fuzzy inversion

Abstract

The invention discloses an active power filter FNN (Fuzzy Neural Network) control method based on fuzzy inversion, comprising the following steps: designing a mathematical model of an active power filter; designing an inversion controller and a sliding mode surface of the active power filter; designing a fuzzy neural network controller of the active power filter and an adaptive law thereof; and designing a fuzzy controller of the active power filter and an adaptive law thereof. The method has the advantages as follows: an active power filter can be controlled effectively and reliably, and under the condition that the parameters of the system are unknown, the parameters of the system can be estimated effectively, and the global stability of the system can be ensured; on the basis of designing the active power filter fuzzy neural network controller based on fuzzy inversion control, the dynamic control law and the adaptive law can be acquired gradually; and command current can be tracked in real time, the dynamic performance of the system can be strengthened, the robustness of the system can be improved, and the method is not sensitive to parameter variation.

Description

technical field [0001] The invention belongs to the technical field of active power filtering, in particular to a three-phase parallel voltage-type active power filtering control, in particular to a fuzzy inversion-based active power filter FNN control method. Background technique [0002] 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 modules) 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 nonlinear and time-varying loads of the power grid, the negative effects brought by them have become increasingly obvio...

AI Technical Summary

Problems solved by technology

The modeling methods of active power filters vary from person to person, and various control methods are used. There is a lack of system stability proof. So far, although the existing patents have studied the control of active power filters from different aspects, But there is no adaptive control, fuzzy control, inversion control, fuzzy neural network control and Lyapunov theory to control and dynamically compensate the active power filter

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