Hybrid bat optimization supported by balloon effect for adaptive control to electrical systems applications

In this study, an enhanced version of the Bat Optimization Algorithm (BOA) is developed by incorporating the Balloon Effect (BE), to improve adaptive control performance in electrical systems. Unlike the conventional BOA, the proposed method dynamically adjusts its parameters based on system variations, increasing its robustness against disturbances and uncertainties. The key novelty of this work lies in utilizing BE to enable real-time adaptability, eliminating the need for fixed parameter tuning. The effectiveness of the proposed approach is validated through simulations and experimental tests, demonstrating superior performance in DC motor position control and load frequency control, compared to traditional methods.