D.C Uguru-Okorie

About

Dr. D.C. Uguru-Okorie is a researcher whose work lies at the intersection of control systems engineering and evolutionary optimization, with a particular focus on enhancing the performance of DC motors in mobile robotics. Their most-cited study, "The effect of an evolutionary algorithm's rapid convergence on improving DC motor response using a PID controller" (2022, 4 citations), tackles a critical challenge in path tracking for mobile robots: the inherent difficulty of precise DC motor speed control. Dr. Uguru-Okorie identified that while the widely-used particle swarm optimization (PSO) tuned proportional integral derivative (PID) controller is effective, it often fails to reach optimal performance due to convergence issues. By investigating how an evolutionary algorithm's rapid convergence can be leveraged, they proposed a novel approach to significantly improve the DC motor's transient response and stability. This contribution is particularly valuable for engineers designing more reliable and responsive autonomous navigation systems. Though early in their citation impact, Dr. Uguru-Okorie’s work represents a meaningful step toward refining classical control methods with modern computational intelligence, offering a practical solution for real-world robotic applications.

Research Focus

Key Achievements

Top Papers

1. 1
   The effect of an evolutionary algorithm's rapid convergence on improving DC motor response using a PID controller

   4 citations · 2022

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