Design, Control, Management, and Performance Analysis of PV-Battery Supercapacitor DC-System Using Buck Converter

Amara, Yasmine; Tebri, Zoulikha; Larabi, Zina

doi:10.4018/978-1-7998-7447-8.ch002

Cited by 1 publication

(1 citation statement)

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“…Pacemakers, defibrillators, cochlear processors, retinal stimulators, neural recording and body-area monitoring are on-chip devices with highly limited energy sources, which are deeply benefited by the improvement of existing techniques and alternative proposal for controlling PECs [ 1 , 2 , 3 , 4 ]. Some other application of DC-DC buck converter include battery charging [ 5 ], renewable energy conversion systems [ 6 ], microgrids [ 7 ], regulated power sources [ 8 ], LED lightning [ 9 ] and DC motor drives [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

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

2022

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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.

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