Mahyar Gheibollahi
Papers
1
Total Citations
25
H-Index
1
About
Mahyar Gheibollahi is a researcher specializing in control systems, optimization algorithms, and unmanned aerial vehicle (UAV) dynamics, with a particular focus on quadrotor modeling and intelligent control design. His most cited work, "The quadrotor dynamic modeling and study of meta-heuristic algorithms performance on optimization of PID controller index to control angles and tracking the route" (2020, 25 citations), makes a significant contribution by systematically comparing the performance of various meta-heuristic optimization techniques—such as genetic algorithms and particle swarm optimization—for tuning PID controllers in quadrotor systems. This research addresses critical challenges in achieving stable angle control and precise trajectory tracking, which are essential for autonomous flight and navigation. Gheibollahi’s work is notable for its practical implications in improving the maneuverability and reliability of vertical fliers, which are increasingly used in surveillance, delivery, and environmental monitoring. By demonstrating how advanced optimization can enhance controller performance, his research bridges the gap between theoretical control methods and real-world UAV applications, offering valuable insights for engineers and researchers working on autonomous systems and robotics.
Research Focus
Key Achievements
Top Papers
- 1