Active power filter fractional order sliding mode control method and system based on neural network and storage medium

Abstract

The invention discloses an active power filter fractional order sliding mode control method and system based on a neural network, and aims to solve the technical problems of insufficient stability andreliability of active power filter control in the prior art. The method comprises the following steps: designing a corresponding fractional order sliding mode model according to a control model of the active power filter to obtain a control law; constructing a double-feedback fuzzy double-hidden-layer recurrent neural network model based on the control law to obtain an optimal equivalent controlitem; and obtaining an optimal control law according to the optimal equivalent control item, and controlling the active power filter. According to the invention, current compensation can be rapidly and accurately carried out, and the reliability and stability are good.

Description

technical field [0001] The invention relates to a neural network-based active power filter fractional sliding mode control method, system and storage medium, belonging to the technical field of active power filter intelligent control. Background technique [0002] With the rapid development of science and technology, the application of power electronic equipment in the power system is becoming more and more extensive. In the process, a large number of power electronic Harmonic pollution to a large extent. Harmonics will not only gradually increase the potential safety hazards of the power system, but also cause waste of electric energy, increase losses, and affect the normal operation of electrical equipment. Therefore, harmonic control has received more and more attention in recent years. [0003] In the initial stage of harmonic control, many conventional methods such as PID control can meet the needs of the power grid to a certain extent, but now these conventional metho...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of insufficient stability and reliability of active power filter control in the prior art, the present invention proposes a fractional-order sliding mode control method, system and storage medium for active power filter based on neural network. The ability of the neural network to deal with nonlinear items is close to the equivalent control item, so that the system does not require too high model accuracy, and can quickly and accurately perform current compensation

Images