Adaptive Dynamic Surface Control of Buck Converter Based on Energy Storage System

Abstract To enhance the stability of the Buck converter and the capacity of resisting disturbance of the controller and converter, come up with an adaptive dynamic surface control strategy based on voltage mode control, which improves the ability of the energy storage system to stabilize the output...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2480; no. 1; pp. 12004 - 12011
Main Authors He, Huan, Jia, Yilin, Guan, Qi, Wang, Duo, Zhang, Tianyi, Ni, Yulin, Zhang, Xiuyu, Zhu, Guoqiang
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2023
Subjects
Adaptive control
Buck converters
Control methods
Control systems design
Controllers
Dynamic stability
Energy storage
Neural networks
Performance indices
Physics
Radial basis function
Voltage stability
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Summary:Abstract To enhance the stability of the Buck converter and the capacity of resisting disturbance of the controller and converter, come up with an adaptive dynamic surface control strategy based on voltage mode control, which improves the ability of the energy storage system to stabilize the output voltage when the input voltage or load changes. The Radial Basis Function (RBF) neural network is combined with the finite covering lemma to approximate the unknown nonlinear functions with time-delay in the system. The error conversion and performance functions are adopted to ensure the tracking performance index. The adaptive dynamic surface controller is applied to ensure the stability of the output voltage of the system when the external conditions change. The proposed control method is tested on the hardware-in-the-loop (HIL) experimental platform. The consequence illustrate that the designed controller is feasible and has good voltage stability performance.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2480/1/012004