Yirong Zhang

Papers

Total Citations

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About

Yirong Zhang is a control systems researcher whose work focuses on advancing robotic attitude control through intelligent algorithm design. His primary research areas include PID control optimization, metaheuristic algorithms, and balancing robot dynamics. Zhang’s most significant contribution is the development of the CFHBA-PID algorithm, a dual-loop PID control approach for balancing robot attitude control that integrates a Complementary Factor with the Honey Badger Algorithm. This work directly addresses the longstanding challenge of difficult parameter tuning in traditional PID controllers, which often suffer from premature convergence when using conventional metaheuristic methods. By introducing a complementary factor to enhance exploration and exploitation balance, Zhang’s algorithm achieves superior stability and responsiveness in dynamic balancing tasks. His flagship paper, published in 2022, has garnered 23 citations, reflecting growing interest in hybrid optimization approaches for real-time control systems. Zhang’s research bridges the gap between classical control theory and nature-inspired optimization, offering practical solutions for robotics applications where precise attitude stabilization is critical. His work is particularly valuable for students and engineers seeking robust, auto-tuning control strategies for two-wheeled balancing robots and similar underactuated systems.