Comparative Examination of Control Strategies in DC-DC Power Converters: A Traditional and Artificial Intelligence Perspective
Journal Title: Journal of Intelligent Systems and Control - Year 2023, Vol 2, Issue 2
Abstract
This study undertakes a comprehensive review of control techniques applicable to DC-DC power converters, categorized into Traditional Control (TC) methods and those based on Artificial Intelligence (AI). Succinct descriptions of prevalent strategies in both classifications are furnished, shedding light on their fundamental principles. Further, the current progress in the field is evaluated, anchoring the discussion in the provided categorization. In assessing the merits and potential drawbacks of each method, specific emphasis is laid on the target converter topology. Predominant topologies such as the elementary buck, boost, bidirectional buck-boost, and dual-active-bridge (DAB) are scrutinized. To furnish a thorough analysis and facilitate comparison of principal control methods, simulations of four fundamental off-the-shelf algorithms are undertaken, employing a 1 MHz switching frequency.
Authors and Affiliations
Erik Martínez-Vera, Pedro Bañuelos-Sanchez, Gibran Etcheverry
Keywords
Related Articles
- EP ID EP732123
- DOI https://doi.org/10.56578/jisc020203
- Views 78
- Downloads 0
Enhanced Interval State Estimation for Uncertain Systems
The quality of state estimation in uncertain systems exerts a significant impact on the performance of control systems. Within these uncertain systems, set-valued mappings introduce output uncertainties, complicating the...
Enhanced Abnormal Event Detection in Surveillance Videos Through Optimized Regression Algorithms
The recognition of abnormal events in surveillance video streams plays a crucial role in modern security systems, yet conventional techniques such as Support Vector Machines (SVMs) and decision trees (DTs) exhibit limita...
Enhancing Power Transmission Efficiency Using Static Synchronous Series Compensators: A Comprehensive Review
In recent decades, the demand for electricity has continuously increased. Power generation facilities are predominantly situated at substantial distances from consumption centers, necessitating transmission over extensiv...
Enhanced Tracking of DC-DC Buck Converter Systems Using Reduced-Order Extended State Observer-Based Model Predictive Control
In this study, the challenges of load variations, input voltage fluctuations, and reference voltage deviations for a DC-DC buck converter system are addressed. A composite voltage controller, founded on a model predictiv...
Continuation Power Flow Analysis of Power System Voltage Stability with Unified Power Flow Controller
The rising power demand has forced power systems all over the world to operate very close to their stability limits. When power systems are overloaded, faulty, or in lack of reactive power, voltage collapses would ensue....