A comprehensive analysis and hardware implementation of control strategies for high output voltage DC-DC boost power converter

Padmanaban, Sanjeevikumar, Grandi, Gabriele, Blaabjerg, Frede, Wheeler, Patrick, Siano, Pierluigi and Hammami, Manel (2017) A comprehensive analysis and hardware implementation of control strategies for high output voltage DC-DC boost power converter. International Journal of Computational Intelligence Systems, 10 (1). pp. 140-152. ISSN 1875-6883

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Classical DC-DC converters used in high voltage direct current (HVDC) power transmission systems, lack in terms of efficiency, reduced transfer gain and increased cost with sensor (voltage/current) numbers. Besides, the internal self-parasitic behavior of the power components reduces the output voltage and efficiency of classical HV converters. This paper deals with extra high-voltage (EHV) dc-dc boost converter by the application of voltage-lift technique to overcome the aforementioned deficiencies. The control strategy is based on classical proportional-integral (P-I) and fuzzy logic closed-loop controller to get high and stable output voltage. Complete hardware prototype of EHV is implemented and experimental tasks are carried out with digital signal processor (DSP) TMS320F2812. The control algorithms P-I, fuzzy logic and the pulse-width modulation (PWM) signals for N-channel MOSFET device are performed by the DSP. The experimental results provided show good conformity with developed hypothetical predictions. Additionally, the presented study confirms that the fuzzy logic controller provides better performance than classical P-I controller under different perturbation conditions.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/830890
Keywords: DC-DC boost converter, Proportional-integral (P-I) controller, Fuzzy controller, Voltage-lift technology, HVDC power converter.
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.2991/ijcis.2017.10.1.10
Related URLs:
Depositing User: Eprints, Support
Date Deposited: 15 Sep 2016 14:11
Last Modified: 04 May 2020 18:23
URI: https://eprints.nottingham.ac.uk/id/eprint/36925

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