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Journal article
Fractional analog scheme for efficient stabilization of a synchronous buck converter
Journal of Electrical Engineering, Vol.71(2), pp.116-121
2020
Abstract
This paper presents the design and control of power electronic synchronous buck converter. Even though a synchronous buck converter is more popular and more widely available, it is not always efficient as nonsynchronous. Firstly, the inputoutput linearization from the state space averaging of the converter is studied, after which a small AC signal analysis is introduced to obtain the dynamic transfer function. All the parameters of the converter are calculated based on the output voltage, current ripples as well as the input voltage. For robustness, the controller is implemented by comparing the response of integer order with non-integer (fractional) order controller, simply known as fractional order controller (FOC). The fractional order derivative is implemented from the Oustaloup approximation and the controller parameters are being tuned using Nelder Mead approximation bases on a system model. It is shown that the FOC performance is comparatively better in presence of the load disturbances and parameter variations. The experimental study with the real-time fractional PI is possible to make for a stand-alone embedded application using FPAA. The proposed technique does not require any digitization of the signal, so it can be easy to implement with improved performance. The effectiveness of the analog controller is discussed, giving some future directions to adopt the new fractional controller.
Details
- Title
- Fractional analog scheme for efficient stabilization of a synchronous buck converter
- Authors/Creators
- Watson Valele - University of the South PacificRobsen Virambath - University of the South PacificUtkal Mehta - University of the South PacificSheikh Azid - University of the South Pacific - Solomon Islands Campus
- Publication Details
- Journal of Electrical Engineering, Vol.71(2), pp.116-121
- Publisher
- Sciendo
- Number of pages
- 6
- Identifiers
- 991005654368807891
- Copyright
- © 2020 Watson Valele et al.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 9 Mathematics
- 9.162 Numerical Methods
- 9.162.448 Fractional Calculus
- Web Of Science research areas
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering