Super-twisting sliding mode control of grid-side inverters for wind power generation systems with parameter perturbation

International Journal of Electrical Power & Energy Systems, Год журнала: 2025, Номер 165, С. 110501 - 110501

Опубликована: Фев. 11, 2025

Язык: Английский

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Performance comparison between PID and Fuzzy logic controllers for the hardware implementation of traditional high voltage DC-DC boost converter

Heliyon, Год журнала: 2024, Номер 10(17), С. e36750 - e36750

Опубликована: Авг. 23, 2024

This research introduces a hardware implementation of DC-DC boost converter designed to elevate the DC voltage generated by renewable sources while effectively regulating it against line and load fluctuations for inverter application. The main objective is link level V

Язык: Английский

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Adaptive Neuro Fuzzy Inference System (ANFIS)-Based Control for Solving the Misalignment Problem inVehicle-to-Vehicle Dynamic Wireless Charging Systems

Electronics, Год журнала: 2025, Номер 14(3), С. 507 - 507

Опубликована: Янв. 26, 2025

Vehicle-to-vehicle dynamic wireless charging (V2V-DWC) represents a modern advancement in electrified transportation, where specialized vehicle delivers power to another on the move. The rising popularity of this technology can be attributed gradual advancements energy storage technologies and scarcity plug-in infrastructure. V2V transfer provides solution for electric vehicles (EVs) recharge their batteries while transit. existing literature confirms empirical validation concept through analytical experimental studies, yet challenge misalignment remains insufficiently explored. Achieving optimal systems necessitates precise alignment inductive coils. Lateral (LTM) occurs due deviation coils from proper alignment, leading significant losses. Additionally, development effective controllers address problem inadequate. This study proposes neural network-based adaptive fuzzy logic controller (ANFIS) alleviate issues V2V-DWC systems. A comparative analysis is conducted between proposed ANFIS conventional (FLC) evaluate performance across various degrees LTM. evaluated simulations MATLAB/Simulink, supplemented by testing. results indicate that surpasses FLC both simulation contexts addressing challenge.

Язык: Английский

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Enhanced grid stability and prolonging life span in renewable energy power converters using an advanced Sugeno-type AI-based neuro-fuzzy control

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Фев. 28, 2025

Язык: Английский

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A voltage-power self-coordinated control system on the load-side of storage and distributed generation inverters in distribution grid

Ain Shams Engineering Journal, Год журнала: 2025, Номер 16(8), С. 103480 - 103480

Опубликована: Май 19, 2025

Язык: Английский

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Stability control and analysis of hydrogen production using a multi-terminal DC EV charging system with PV

Renewable Energy, Год журнала: 2024, Номер 234, С. 121196 - 121196

Опубликована: Авг. 16, 2024

Язык: Английский

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