Elham Pourabdollah

Papers

Total Citations

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About

Elham Pourabdollah is a control systems researcher whose work bridges classical and intelligent control strategies for robotic and mechatronic systems. Her research focuses on the design and optimization of fractional-order controllers, particularly fractional-order PID (FOPID) controllers, and the integration of fuzzy logic with linear quadratic regulator (LQR) techniques. In her most cited work, she introduced an optimal fractional-order PID controller for robotic manipulators using the colliding bodies design optimization algorithm, achieving 25 citations for its novel approach to enhancing trajectory tracking and robustness. Another key contribution, with 21 citations, presents a combined PID and LQR controller governed by optimized fuzzy rules, demonstrating how hybrid control architectures can outperform conventional methods in nonlinear systems. Pourabdollah’s work is notable for its practical emphasis on real-time implementation and its systematic use of metaheuristic optimization to tune complex controller parameters. Her research has been influential in advancing the field of intelligent control for robotics, offering engineers and researchers effective tools for designing high-performance, adaptive control systems.