Akademik Veri Yönetim Sistemi
Karadeniz Fen Bilimleri Dergisi, cilt.16, sa.1, ss.304-337, 2026 (TRDizin)
This study proposes an optimization approach based on metaheuristic algorithms to improve the control performance of a bidirectional dual active bridge (DAB) DC-DC converter. DAB converters are widely preferred in many applications due to their high efficiency, flexible control, and bidirectional power transfer capabilities. However, accurate determination of controller parameters is critical for achieving efficient energy transfer and minimizing losses. In this study, the DAB converter is controlled using proportional-integral (PI) and fractional-order proportional-integral (FOPI) controller structures. The controller parameters are optimized using Dandelion Optimization (DO), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO) algorithms, with the Integrated Time-Weighted Absolute Error (ITAE) employed as the objective function. In addition, the effects of circuit parameter selection on system efficiency are investigated. The results provide a comparative evaluation of the three algorithms and confirm the effectiveness of metaheuristic optimization in improving DAB converter control performance, contributing a comprehensive perspective to the existing literature.