Fractional order global sliding mode control method of active power filter based on regressive neural network

Abstract

The invention provides a fractional order global sliding mode control method of an active power filter based on a regressive neural network. The method comprises the following steps: establishing an active power filtering mathematical model; establishing a fractional order global sliding mode controller of the regressive neural network based on the regressive neural network, and designing a control law and an adaptive law; and controlling the active power filter by using the fractional order global sliding mode controller of the regressive neural network. By adoption of the fractional order global sliding mode control method provided by the invention, initial values of a center vector and a base width can be set, and the center vector and the base width are automatically stabilized to optimal values according to different inputs of a designed adaptive algorithm. A fractional order term is added to a sliding mode surface, thereby having more adjustable degrees of freedom compared withthe discontinuous order adjustment of integer order sliding mode control. A arrival motion phase of sliding mode control can be eliminated by the fractional order global sliding mode control, so thatthe system has robustness in the whole process of response. By adoption of the fractional order global sliding mode control method provided by the invention, real-time tracking compensation of instruction current is achieved, the reliability is high, and the robustness and stability to parameter changes are good.

Description

technical field [0001] The invention relates to the control field of power filters, in particular to a fractional-order global sliding mode control method for an active power filter based on a regression neural network. Background technique [0002] There are mainly two ways to suppress harmonics: active filter and passive filter. At present, passive filters are mainly used in China to deal with harmonics in the power grid. However, the compensation characteristics of passive filters are single, and they are easily affected by system impedance, causing resonance phenomena, amplifying harmonics, and then burning compensation devices, and can only effectively deal with specific harmonics. People gradually shift the focus of research to active power filter. Compared with passive filters, active filters have the advantages of large dynamic range of harmonics that can be filtered out, and fast dynamic compensation for harmonic currents. Although the cost of active filters is r...

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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

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