On February 14, 2025, as part of our ongoing weekly Student Seminar Series, Artyom Khachatryan, a research intern at the Center for Scientific Innovation and Education, presented his research on "System Identification of BLDC Motor."

Key Highlights:

✔️ Data collection using a Tyto Dynamics thrust stand

✔️ Analysis of time asynchronization between thrust and RPM

✔️ Polynomial regression modeling for precise system behavior prediction

A Brushless DC (BLDC) motor is an electric motor that operates without brushes, using electronic commutation instead of mechanical commutation. It offers higher efficiency, better speed control, and longer lifespan compared to traditional brushed motors. BLDC motors are widely used in applications like electric vehicles, drones, and industrial automation due to their high torque, reliability, and low maintenance.

During the seminar we explored the relationship between BLDC motor thrust and RPM using polynomial regression. Utilizing a Tyto Dynamics drone thrust stand, experimental data was collected to develop an accurate mathematical model. This model helps in predicting thrust variations with RPM, optimizing performance for drone and propulsion systems. The findings contribute to better motor control strategies and efficiency improvements.