Double closed-loop rbf neural network sliding mode variable structure adaptive control method

Abstract

The invention discloses a double-closed-loop RBF neural network sliding mode variable structure self-adaptive control method. The controller controls the Buck converter to stabilize the output voltage according to the set expected output voltage and the obtained real-time feedback output voltage and real-time feedback output current output driving signal. to a preset reference output voltage. Compared with the existing technology, the boundary layer sliding mode control technology is adopted to reduce the chattering generated in the control process of the sliding mode variable structure control. At the same time, aiming at the uncertainty problem caused by system parameter changes and external unknown disturbances during the working process of the Buck converter, the state equation of the Buck converter is described more precisely; and, for the uncertainty of the system, the present invention is Based on the designed sliding mode variable structure controller, adaptive control is added, which can adapt to the external environment and minimize the impact of various disturbances in the external environment on the Buck converter without losing robustness.

Description

technical field [0001] The invention belongs to the field of automatic control of DC-DC converters, in particular to a double-closed-loop RBF neural network sliding mode variable structure self-adaptive control method. Background technique [0002] With the development of human society, people's demand for electric energy continues to increase, and at the same time, the quality requirements for electric energy are also continuously improved. Therefore, the processing and conversion of electric energy has become an indispensable part of human life in social development. The processing and transformation of electric energy plays an increasingly important role in the utilization of electric energy, so its processing and transformation methods have become a hot spot in the field of research. [0003] According to the power conversion type, the power processing device can divide the switching converter into the following basic forms: AC / DC (rectification conversion), AC / AC (AC-A...

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention proposes a double-closed-loop RBF neural network sliding mode variable structure adaptive control method, thereby solving the problem of poor control effect of the existing Buck converter and realizing good output performance of the Buck converter

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