Linearization feedback neural sliding-mode control method for three-phase parallel-connection active power filter

Abstract

The invention discloses a linearization feedback neural sliding-mode control method for a three-phase parallel-connection active power filter. According to the control method, the method of RBF neural network approach and self-adaptation control is adopted, the linearization feedback technology is utilized, a self-adaptation neural sliding-mode controller is designed, and a control law of an output linearization feedback neural sliding-mode of the controller is used for approaching a switch function of the three-phase parallel-connection active power filter, so that connection and disconnection of a main circuit switch of the active power filter is controlled. The control method integrates advantages of a linearization feedback method, sliding-mode control, a self-adaptation algorithm and an RBF neural network, can detect and track harmonic waves in power source currents constantly, and achieves the purposes of eliminating the harmonic waves and improving quality of electric energy by generating offset currents equal in magnitude and opposite in direction. As the self-adaptation law is designed on the basis of the lyapunov function, the control method can regulate the weight of the neural network on line, so that a system has stability and robustness.

Description

technical field [0001] The invention relates to a linearized feedback neural sliding mode control method of a three-phase parallel active filter, belonging to the technical field of active power filter control. Background technique [0002] With the application of a large number of nonlinear loads, the harmonic content in the power grid is increasing day by day, resulting in worse and worse power quality. Harmonics can cause a series of hazards such as overheating of equipment, increased loss, and excessive current, which must be suppressed. Compared with the passive power filter, the active power filter (APF) can more effectively deal with the harmonics and power factor of the changing load. "The most effective means. [0003] The control technology of APF is one of the key technologies of APF. The control effect of APF depends to a large extent on the performance of its controller. With the development of industrial technology, the design requirements for control systems...

AI Technical Summary

Problems solved by technology

Due to the complexity, nonlinearity, time deformation, uncertainty and other factors in the actual system, it is impossible to obtain an accurate mathematical model, and the traditional control theory can no longer meet the requirements of industrial development, so advanced control theory has been proposed and developed

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