Estimation-Correction Modeling and Chaos Control of Fractional-Order Memristor Load Buck-Boost Converter

被引:1
|
作者
Wang L. [1 ]
Wang C. [1 ]
Zhang H. [1 ]
Ma P. [1 ]
Zhang S. [1 ]
机构
[1] School of Electrical Engineering, Xinjiang University, Urumqi
来源
关键词
bursting oscillation; estimation-correction algorithm; fractional-order memristor Buck-Boost converter; hybrid control strategy;
D O I
10.23919/CSMS.2024.0002
中图分类号
学科分类号
摘要
A fractional-order memristor load Buck-Boost converter causes periodic system oscillation, electromagnetic noise, and other phenomena due to the frequent switching of the switch in actual operation, which is detrimental to the stable operation of the power electronic converter. It is of great significance to the study of the modeling method and chaos control strategy to suppress the nonlinear behavior of the Buck-Boost converter and expand the safe and stable operation range of the power system. An estimation-correction modeling method based on a fractional active voltage-controlled memristor load peak current Buck-Boost converter is proposed. The discrete numerical solution of the state variables in the continuous mode of the inductor current is derived. The bursting oscillation phenomenon when the system introduces external excitation is analyzed. Using bifurcation, Lyapunov exponent, and phase diagrams, a large number of numerical simulations are performed. The results show that the Buck-Boost converter is chaotic for certain selected parameters, which is the prerequisite for the introduction of the controller. Based on the idea of parameter perturbation and state association, a three-dimensional hybrid control strategy for a fractional memristor Buck-Boost converter is designed. The effectiveness of the control strategy is verified by simulations, and it is confirmed that the system is controlled in a stable periodic state when the external tunable parameter s, which represents the coupling strength between the state variables in the system, gradually decreases in [-0.4, 0]. Compared with integer-order controlled systems, the stable operating range of fractional-order controlled systems is much larger. © 2021 TUP.
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页码:67 / 81
页数:14
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