Active power filter neural network terminal sliding mode control method and computing device

Abstract

The invention discloses a global rapid terminal sliding mode control method of an active power filter neural network, comprising the following steps: step 1, establishing a mathematical model of an active power filter; step 2, the neural network used in the present invention is an RBF neural network , use the RBF neural network to approximate the unknown part of the active power filter system, and design the RBF neural network global fast terminal sliding mode controller, including control law and adaptive law; step 3, according to the RBF neural network global fast terminal sliding mode A controller controls the active power filter. The RBF neural network has universal approximation characteristics, and can approximate any continuous function with arbitrary precision. The global fast terminal sliding mode control has the following advantages: (1) The global fast terminal sliding mode ensures that the system reaches the sliding surface within a finite time, so that the system state converges to an equilibrium state within a finite time. (2) The control law of the global fast terminal sliding mode is continuous, which can eliminate the chattering phenomenon. (3) The global fast terminal sliding mode control is robust to system uncertainties and disturbances.

Description

technical field [0001] The invention relates to a global fast terminal sliding mode control method of an active power filter neural network, in particular to a global fast terminal sliding mode control method of an active power filter based on an RBF neural network in three-phase parallel voltage type active power Application on filter control. Background technique [0002] With the extensive application of nonlinear loads, the harmonic pollution in the power grid is becoming more and more serious, which has a negative impact on the quality of power supply and consumption, resulting in distortion of the grid voltage and current waveforms, low power factor, phase distortion, and surges. The control of harmonics has an extremely critical impact on maintaining the safety and stable operation of the power grid system. The means of harmonic control mainly include active power filter (APF) and passive power filter. Compared with passive power filters, active power filters have t...

AI Technical Summary

Problems solved by technology

[0003] At present, there is no advanced control theory system for systematic active power filters at home and abroad. The modeling methods of active power filters vary from person to person, and the control methods adopted are also various, resulting in relatively low stability and reliability of the system. Low

Images