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This study introduces the Levy Flight-Augmented Artificial Circulatory System Algorithm (LF-ACSA) for optimizing PID tuning in DC motor control, addressing limitations of existing methods by improving exploration and exploitation balance. The LF-ACSA demonstrates superior performance compared to seven other metaheuristic algorithms, achieving lower fitness values and enhanced stability in system responses. This research marks the first application of ACSA in control engineering, highlighting its potential f

Author

MAHMOOD OMAR TALAL MAHMOOD / UPM

Language

EN