Active Power Filter Neural Network Dynamic PID Global Sliding Mode Control Method

Abstract

The invention discloses a dynamic PID global sliding mode control method for an active power filter neural network. A dynamic PID global sliding mode control system for the active power filter neural network is composed of a dynamic PID global sliding mode controller and a neural network indeterminacy estimator; global siding mode control can speed up a system response, and thus the system has good robustness during a whole response process. An integral item is introduced into the design of a sliding mode surface to restrain steady-state errors and enhancing robustness, and a buffeting phenomenon can be reduced by dynamic sliding mode control, and therefore, combination of a PID global sliding mode and a dynamic sliding mode can bring advantages of the two ones into play at the same time, transient performance and robustness of the sliding mode control system are improved and buffeting existing in sliding mode variable structure control is reduced; for unknown nondeterminacy, the neural network is added to approximate undetermined items, a switching item of the sliding mode control is converted into a continuous neural network output, the buffeting phenomenon in sliding mode control is further weakened, malfunction of an IGBT is avoided, and the system performance is optimized.

Description

technical field [0001] The invention relates to a control method for an active power filter, in particular to a neural network dynamic PID global sliding mode control method for an active power filter. Background technique [0002] With the popularization and application of modern power electronic technology, there are more and more various power electronic devices. The working performance and service life of equipment and electrical equipment, and even endanger the safety of the power system. Currently, external filters are mainly used for treatment. Filters are divided into passive filters and active filters. Since the passive filter can only compensate specific harmonics and other defects, the current research on the control of electric energy problems mainly focuses on the active filter. The active filter can track and compensate the harmonics with changing frequency and amplitude. It can not only compensate each harmonic, but also suppress flicker and compensate react...

AI Technical Summary

Problems solved by technology

However, the robustness of adaptive control to external disturbances is very low, and it is easy to make the system unstable.

[0004] This shows that above-mentioned existing active power filter obviously still has inconvenience and defect in use, and urgently needs to be further improved

In order to solve the problems existing in the use of existing active power filters, relevant manufacturers have tried their best to find a solution, but no suitable design has been developed for a long time

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