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Current-Sensorless Energy-Shaping Output Voltage-Tracking Control for dc/dc Boost Converters With Damping Adaptation Mechanism
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Publication Year
2022-08-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Transactions on Power Electronics, Vol.37, pp.9266-9274
Keyword
Damping adaptationdc/dc boost converterenergy dissipationvoltage trackingvoltage-derivative observers
Mesh Keyword
Adaptation mechanismConvergenceDamping adaptationDc - dc boost convertersLoad modelingObserverOutput voltagesTime-varying systemsVoltage trackingVoltage-derivative observer
All Science Classification Codes (ASJC)
Electrical and Electronic Engineering
Abstract
This article exhibits an output voltage-derivative observer-based output voltage-tracking technique for dc/dc boost converters without current feedback, taking the model-plant mismatches (caused by parameter and load variations) and model nonlinearity into consideration. In contrast to extant passivity-based approaches, the proposed solution includes observers to estimate the output voltage derivative and does not require exact model information, which offers a few features: converter parameter information-free output voltage-derivative observers including the modified disturbance observation algorithm for improving the high-frequency disturbance rejection capability as a replacement of the estimation error integral actions, and the observer-based output voltage and its derivative error stabilizer with a damping adaptation mechanism assigning the desired energy function to the closed-loop system. Experimental verification is provided to demonstrate the practical advantages of the proposed solution using a 3-kW bidirectional converter.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32594
DOI
https://doi.org/10.1109/tpel.2022.3159793
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Type
Article
Funding
This work was supported in part by the National Research Foundation of Korea, Korea government (Ministry of Science and ICT) under Grant NRF-2021R1C1C1004380, in part by the Basic Science Research Program through the National Research Foundation of Korea, Ministry of Education, under Grant 2018R1A6A1A03026005, and in part by the Korea Electric Power Corporation
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Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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