Hybrid Dual-Loop Control of PV DC-DC Boost Converters Using Type-2 Fuzzy Logic and Model Predictive Control

Abstract

This paper presents a hybrid dual-loop control strategy for a standalone photovoltaic energy system interfaced with a boost converter. Photovoltaic systems exhibit strong non-linear behavior and high sensitivity to irradiance, temperature, and load variations, which makes voltage regulation and dynamic performance challenging, in especially with a single-loop control configuration. To address these issues, a cascaded control architecture is proposed, where an outer voltage regulation loop based on Type-2 fuzzy logic generates a robust reference current, while an inner loop based on model predictive control ensures fast and accurate inductor current tracking. A comparative study with a Type-1 fuzzy logic-based predictive control strategy is conducted using dynamic performance indicators. Simulation results show that both strategies achieve overshoot free voltage regulation, while the proposed Type-2 fuzzy logic-based approach reduces the response and settling times by approximately twenty-one percent. In addition, the proposed fuzzy logic and predictive control architecture demonstrate a strong disturbance rejection capability under varying environmental and load conditions, confirming its effectiveness for high performance photovoltaic power conversion applications.