Fuzzy neural network control method for active electric power filter

Abstract

The invention discloses a fuzzy neural network control method for an active electric power filter. According to the method, self-adaptation control, RBF (Radial Basis Function) neural network control and fuzzy neural network control are combined. When the method is applied, firstly, a mathematic model of the active electric power filter with disturbance and error is established, and secondly, a fuzzy neural network controller is obtained based on design of a self-adaptation RBF neural network. According to the method, an instruction current is tracked in real time, the dynamic performance of a system is improved, the robustness of the system is improved, and the system is not sensitive to parameter change. Through design of the sliding mode variable structure system, the active electric power filter is ensured to operate along a sliding mode track, the uncertainty of the system can be overcome, the robustness to interference is very high, and the high control effect on a nonlinear system is realized. The nonlinear part in the active electric power filter is approximated by designing a self-adaptation RBF neural network controller. The instruction current can be tracked in real time and the robustness of the system is improved by designing the fuzzy neural network controller.

Description

technical field [0001] The invention relates to the technical field of active power filtering, in particular to a fuzzy neural network control method for active power filtering based on an adaptive RBF neural network, which can be used for three-phase parallel voltage type active power filtering control. 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 b...

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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, RBF neural network control, fuzzy neural network control and Lyapunov theory for active power filter control and dynamic compensation

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