Mohammad Ali Amini

About

Mohammad Ali Amini is a researcher specializing in the aerodynamics, dynamics, and system identification of flapping-wing unmanned aerial vehicles (UAVs), commonly known as ornithopters. His work focuses on bridging the gap between theoretical models and real-world flight performance. In his 2020 study, Amini developed a simplified dynamic model for a large-scale ornithopter in forward flight, using actual flight data to estimate forces—a critical step for improving control and design. This work has garnered 6 citations. Earlier, in 2019, he investigated the use of low-cost air-data sensors to measure airspeed and angle of attack on a flapping-wing robot, a challenging task due to the intense, high-amplitude oscillations inherent to ornithopter flight. His detailed analysis of these sensor effects, cited 4 times, provides foundational knowledge for system identification in this emerging field. Amini’s contributions are notable for advancing practical, data-driven approaches to ornithopter dynamics, offering valuable insights for students and researchers working on bio-inspired aerial vehicles.

Research Focus

Key Achievements

Top Papers

1. 1
   A Simplified Model, Dynamic Analysis and Force Estimation for a Large-scale Orinthopter in Forward Flight Based on Flight Data

   6 citations · 2020
2. 2
   Performance of Low-Cost Air-Data Sensors for Airspeed and Angle of Attack Measurements in a Flapping-Wing Robot

   4 citations · 2019

Key Collaborators

Contact & Links