The master's thesis of the student (GhufranWaleed Abdel Abbas), majoring in Mechatronics and Robotics, from the Control and Systems Engineering Department, was discussed on Wednesday, 8-3-2023. The thesis title is:

‏Sensorless Speed Control of Brushless DC Motor

The discussion committee consisted of:

Asst. Prof. Dr. Abbas Hussein Issa(Chairman)

Asst. Prof. Dr. BasemGhalebMijbel(Member)

Lect. Dr. Huthaifa Khalil Ibrahim (Member)

Asst. Prof. Dr. FarazdaqRafiqYassin(Member and Supervisor) ‎

‏In this work, a brushless DC motor (BLDC) was used. It is commonly used in ceiling fans and electric vehicles due to its smooth operation and lack of routine maintenance. Two algorithms were used. The first algorithm is the Particle Swarm Optimization (PSO) and the second algorithm is the Grey Wolf Optimization (GWO). In addition, speed and position control system was used without the dependency on the Hall sensors, and this was done utilizing two algorithms, namely the Extended Kalman Filter (EKF) and the Particle Filter (PF). ‏In this work, the GWO was superior to PSO and the Classical PI Controller and sensorless PF was superior to EKF.