Optimization and Its Implementation Impact of Two-Modes Controller Fractional Approximation for Buck Converters

Additional degrees of freedom in a fractional-order control strategy for power electronic converters are well received despite the lack of reliable tuning methods. Despite artificial/swarm intelligence techniques have been used to adjust controller parameters to improve more than one characteristic/...

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Bibliographic Details
Published in:Micromachines (Basel) 2022-09, Vol.13 (10), p.1600
Main Authors: S. Sánchez, Allan G., Perez-Pinal, Francisco-Javier, Espinosa-Calderón, Alejandro
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Approximation
Buck converters
Controllers
DC-DC converters
Electric current converters
fractional control
fractional-order implementation
High gain
Load
Load fluctuation
Mathematical optimization
Optimization
Optimization algorithms
Parameters
particle swarm algorithm
Robustness (mathematics)
Swarm intelligence
Synthesis
Tuning
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Summary:Additional degrees of freedom in a fractional-order control strategy for power electronic converters are well received despite the lack of reliable tuning methods. Despite artificial/swarm intelligence techniques have been used to adjust controller parameters to improve more than one characteristic/property at the same time, smart tuning not always leads to realizable structures or reachable parameter values. Thus, adjustment boundaries to ensure controller viability are needed. In this manuscript the fractional-order approach is described in terms of El-Khazali biquadratic module, which produces the lowest order approximation, instead of using a definition. A two-modes controller structure is synthesize depending on uncontrolled plant needs and parameters are adjusted through particle swarm and genetic optimization algorithms for comparison. Two error-based minimization criteria are used to consider output performance into the process. Two restrictions complement the optimization scheme, one seeks to ensure desired robustness while the other prevents from synthesizing a high-gain controller. Optimization results showed similarity between minima obtained and significant difference between parameters of those controller optimized without the proposed constraints was determined. Numerical and experimental results are provide to validate proposed approach effectiveness. Effective regulation, good tracking characteristic and robustness in the presence of load variations are the main results.
ISSN:2072-666X
2072-666X
DOI:10.3390/mi13101600