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Period Doubling Bifurcation of Fractional-order Boost Converter Based on Predictor-corrector Algorithm
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Lingling XIE, Yuqing YANG, Junyi YAO, Long QIN
Journal of Power Supply | 2024, 22(2) : 10 - 18
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Journal of Power Supply | 2024, 22(2): 10-18
DC-DC Converters
Period Doubling Bifurcation of Fractional-order Boost Converter Based on Predictor-corrector Algorithm
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Lingling XIE, Yuqing YANG, Junyi YAO, Long QIN
Affiliations
  • School of Electrical Engineering Guangxi University Nanning 530004 China
Published: 2024-03-30 doi: 10.13234/j.issn.2095-2805.2024.2.10
Outline
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Based on the fact that inductance and capacitance are of fractional-order, the nonlinear dynamic characteristics of a fractional-order Boost converter are studied. The predictor-corrector model of the Boost converter is established using the predictor-corrector algorithm of fractional-order calculus. On this basis, the bifurcation diagrams with the reference current, input voltage and orders of capacitance and inductance as bifurcation parameters are obtained. The period doubling bifurcation and chaotic behaviors of the fractional-order Boost converter are studied, and its nonlinear dynamic behavior is compared with that of an integer-order Boost converter at the same time. Results show that under certain operating conditions, some nonlinear phenomena such as bifurcation and chaos will appear in the fractional-order Boost converter with changes in some circuit parameters. Under the condition of the same circuit parameters, the parameter stability domains of integer-and fractional-order converters are different. Compared with that of the integer-order converter, the parameter stability region of the fractional-order converter is smaller, which more truly reflects the nonlinear dynamic characteristics of the Boost converter.

Fractional-order  /  Boost converter  /  chaos  /  predictor-corrector algorithm  /  period doubling bifurcation
Lingling XIE, Yuqing YANG, Junyi YAO, Long QIN. Period Doubling Bifurcation of Fractional-order Boost Converter Based on Predictor-corrector Algorithm[J]. Journal of Power Supply, 2024 , 22 (2) : 10 -18 . DOI: 10.13234/j.issn.2095-2805.2024.2.10
  • National Natural Science Foundation of China(61863003)
  • National Natural Science Foundation of China(61561007)
  • Guangxi Natural Science Foundation Program(2019GXNSFAA245019)
Year 2024 volume 22 Issue 2
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.2.10
  • Receive Date:2021-11-25
  • Online Date:2025-07-21
  • Published:2024-03-30
Article Data
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History
  • Received:2021-11-25
  • Revised:2022-01-19
  • Accepted:2022-03-02
Funding
National Natural Science Foundation of China(61863003)
National Natural Science Foundation of China(61561007)
Guangxi Natural Science Foundation Program(2019GXNSFAA245019)
Affiliations
    School of Electrical Engineering Guangxi University Nanning 530004 China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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