Enhancing Power Regulation Using Bidirectional SEPIC with MPPT Based Fuzzy Logic for Navigation in Aerospace Vehicles

Abstract

The traditional SEPIC (Single-Ended Primary Inductor Converter) converter has long been acknowledged for its unidirectional operation, primarily catering to power conversion needs in a single direction. However, the contemporary energy landscape, characterized by renewable energy sources and dynamic power demands, calls for innovations that enable bidirectional power flow. The paper introduces a method for integrating Maximum Power Point Tracking (MPPT) system based on Fuzzy Logic algorithm so as to achieve bidirectional application using SEPIC converter for producing a regulated output for aerospace applications. The algorithm continuously monitors the source’s maximum power point, while the artificial intelligence technique dynamically modifies the converter’s operation to achieve effective power conversion. Compared to traditional MPPT techniques like Perturb & Observe and Incremental Conductance, the fuzzy logic-based approach makes use of linguistic variables and rule-based inference to more effectively regulate to nonlinear system behaviors and rapid environmental changes. Because it can tolerate imperfect inputs without the necessity for an exact mathematical model, it only functions well in aircraft platforms that are subjected to changeable conditions. This guarantees enhanced tracking accuracy, reduced steady-state oscillations, and increased stability in mission-critical aerospace scenarios. The bidirectional SEPIC converter is effective in various applications, including grid-tied renewable energy systems, and electric vehicles. This confirms optimal power delivery to aerospace navigation systems and is particularly suitable for power management in contemporary aerospace vehicles like solar-powered UAVs and electric aircraft platforms. The SEPIC converter’s bidirectional operation augments its adaptableness and progresses sustainable energy technologies.