Development of a Simple Fuzzy Logic Controller for DC-DC Converter

Leso, Martin; Zilkova, Jaroslava; Girovský, Peter

doi:10.1109/epepemc.2018.8521896

Cited by 23 publications

(7 citation statements)

References 26 publications

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“…the response associated with ξ v is identically zero, while the one associated with ξ r is still given by (11). Hence, the tracking error can be written as in (8) for any ξ 0 .…”

Section: Global Monotonic Trackingmentioning

confidence: 99%

“…By contrast, the main advantage of fuzzy controllers is that no prior knowledge of the converter is needed. However, fuzzy logic controllers require substantial computational power due to complex and heuristic decisionmaking processes, namely fuzzification, rule base storage, an inference mechanism, and process of defuzzification [11]. To overcome these limitations, in this brief we propose a new multiple input multiple output (MIMO) control algorithm based on the method introduced first in [12] and further developed in [13].…”

Section: Introductionmentioning

confidence: 99%

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A Novel MIMO Control for Interleaved Buck Converters in EV DC Fast Charging Applications

Ntogramatzidis

Cuoghi

Ricco

et al. 2023

IEEE Trans. Contr. Syst. Technol.

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This brief proposes a new multiple input multiple output (MIMO) control for off-board electric vehicle (EV) dc fast chargers. The proposed feedback matrix design avoids multiple tuning of controllers in multiple and interconnected loops while improving the performance of interleaved dc buck converters over classical PI/PID controls. The innovative features of the presented strategy are the reference current monotonic tracking from any initial state of charge with an arbitrarily fast settling time and the fast compensation of both load variations and imbalances among the legs. Numerical results validate the performance improvements of the proposed discrete-time MIMO algorithm for interleaved buck converters over classical PI/PID controls. Full-scale hardware-in-the-loop (HIL) and scaled-down prototype experimental results prove the feasibility and effectiveness of the proposal.

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“…the response associated with ξ v is identically zero, while the one associated with ξ r is still given by (11). Hence, the tracking error can be written as in (8) for any ξ 0 .…”

Section: Global Monotonic Trackingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel MIMO Control for Interleaved Buck Converters in EV DC Fast Charging Applications

Ntogramatzidis

Cuoghi

Ricco

et al. 2023

IEEE Trans. Contr. Syst. Technol.

View full text Add to dashboard Cite

show abstract

“…By comparing the actual values with their reference values at every interval, the change in error (Δe) and error (e) are obtained for all loops which are provided as input for FLC to achieve the control output (u) [31]. For each regulator, the obtained output (u) acts as the control action which is generated by the FLC.…”

Section: The Fuzzy Logic Controller Algorithm (Flc)mentioning

confidence: 99%

Evaluation and Improvement of a Transformerless High-Efficiency DC–DC Converter for Renewable Energy Applications Employing a Fuzzy Logic Controller

Saravanan¹,

Rani²,

Thakre³

2022

MAPAN

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This article discusses a transformer-free, high-efficiency DC-DC converter besides renewable energy applications. The traditional buck-boost, classic Zeta, Sepic, and Cuk converter does have the benefits of a simple design, low cost, as well as the capacity to execute voltage step-up and step-down. Conversely, because of the detrimental consequences of the parasitic constraints of the device, the voltage conversion gain of the traditional DC-DC converter is much more restricted and the efficiency is also significantly smaller, whereas this proposed converter does have a higher voltage gain and efficiency because it is used in a single power switch, resulting in reduced switching losses and voltage stress. The said converter's design is very simple, which simplifies the operation control and reduces switching and conduction losses, leading to an efficiency of 97.4 percent. This converter seems to have the same capabilities as the Zeta converter, including continuous desired output current and desired buck-boost operation. Such an article offers the operation principle and steady evaluation, as well as a comparison with other existing high step-up configurations. The proposed converter employs a fuzzy logic controller, which improves the voltage level as well as reduces the time taken to set the voltage output of a conventional PI and ANN controller, especially in comparison to the FLC controller. For deployment, Experimental Result and MATLAB/Simulink has been used, and the modeling results indicate that the proposed controller performance has improved.

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“…For the design of a converter with modern control, it is preferable to use programs such as MATLAB/Simulink, Plecs, PSpice, etc. In tandem with simulation, these programs also allow the application of advanced control methods [6] and thermal simulations [7].…”

Section: Introductionmentioning

confidence: 99%