Adaptive Kalman-based Constrained Predictive Control with Neural Estimator for a Non-Inverting Buck-Boost Converter

O Asvadi-Kermani, A Oshnoei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article introduces an adaptive constrained model predictive control (AMPC) method for
regulating the voltage of a noninverting dc buck–boost converter, capable of delivering up to …

Adaptive generalized predictive voltage control of islanded ac microgrid in presence of symmetric and asymmetric faults

B Felegari, O Asvadi-Kermani, A Oshnoei… - Electric Power Systems …, 2024 - Elsevier
In islanded microgrids, efficiently controlling the output voltage and frequency of voltage
source inverters while maintaining stability poses a significant challenge, particularly during …

Neuro-fuzzy-SVPWM switched-inductor-capacitor-based boost inverter for grid-tied fuel cell power generators, design and implementation

D Ertekin, M Özden, A Deniz, MZ Toprak - Renewable Energy, 2024 - Elsevier
Hydrogen energy shows promise as a renewable energy source for various applications like
battery and electric vehicle charging stations, as well as grid connections. However, high …

Optimized Design and Fast-Dynamic Control for ISOP-Connected Hybrid CLLC-DAB System with Partial Power Processing Property

R Wei, Y Li - IEEE Transactions on Power Electronics, 2024 - ieeexplore.ieee.org
This article presents new design and control approaches for an input-series-output-parallel
(ISOP) connected hybrid converter with partial power processing (PPP) capabilities, which …

A DC Voltage Robust Control Strategy of Boost Converter Based on Load Impedance and Input Voltage Observation

G Li, J He, X Liu - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
The output voltage of the boost converter is often compromised by unpredictable load and
uncertain input voltage disturbance, making the stable control of the output voltage …

Design of an Adaptive Robust PI Controller for DC/DC Boost Converter Using Reinforcement-Learning Technique and Snake Optimization Algorithm

S Ghamari, M Hajihosseini, D Habibi, A Aziz - IEEE Access, 2024 - ieeexplore.ieee.org
The DC/DC Boost converter exhibits a non-minimum phase system with a right half-plane
zero structure, posing significant challenges for the design of effective control approaches …

Adaptive Generalized Predictive Voltage Control of a Boost Converter for Peak Current Reduction in the Presence of Uncertainties

O Asvadi-Kermani, B Felegari, D Amani… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This article introduces an adaptive constrained generalized predictive controller (GPC)
applied to a float interleaved boost converter (FIBC) with a low output current. FIBCs face …

Robust security‐based model predictive control for nonlinear cyber‐physical system under random occurring deception attacks and actuator saturation

Y Wu, L Zhang, W Xie - International Journal of Robust and …, 2024 - Wiley Online Library
This article presents a robust security‐based model predictive control (MPC) framework for a
class of discrete‐time nonlinear cyber‐physical systems (CPSs) suffering random deception …

Black-box Wiener-Hammerstein Model with Polytopic Dynamic Structure for Highly Non-linear DC-DC Power Electronic Converters

F Perez, A Frances, J Uceda - IEEE Access, 2024 - ieeexplore.ieee.org
Due to the increasing presence of DC-DC power electronic converters in power distribution
systems, having accurate models is essential for the analysis and design process. Black-box …

Design of a novel robust adaptive backstepping controller optimized by snake algorithm for buck‐boost converter

F Mohammadi, A Kaffash… - IET Control Theory & …, 2025 - Wiley Online Library
Abstract A power DC‐DC Buck‐Boost converter is controlled using a Lyapunov‐based
Adaptive Backstepping Control (ABSC) technique. It exhibits unfavorable behavior due to its …