This paper presents the implementation of a Fractional Order
PID (FOPID) controller for regulating the angular speed of a
Brushless DC (BLDC) sensorless motor. The controller is
optimized using the Flower Pollination Algorithm and Genetic
Algorithm (GA) to determine the optimal values for the
fractional order system parameters and PID parameters of the
controller. A comparison between the results obtained from
FOPID and PID controllers is conducted, focusing on the
strengths of FOPID in terms of rising time, overshoot, and
settling time when controlling the angular speed of the BLDC
motor. The simulation results unequivocally demonstrate that
FOPID is the optimal choice for angular speed control,
yielding a satisfactory transient response, particularly
with regards to the critical rising time aspect, which holds
significance across a wide range of applications involving
BLDC motors.
Published in: 2023 IEEE
International Conference on Omni-layer Intelligent Systems
(COINS)
@Valeo
Currently act as Feature Owner for High Voltage Coolant Heater products, working closely with Stellantis and Jaguar Land Rover (JLR) OEMs. Responsible for leading feature development and integration to ensure alignment with OEM specifications and performance standards.
@Nile University
Instructed senior students in embedded systems development, delivering a comprehensive and practical syllabus. Conducted research and published a conference paper on optimal fractional-order PID (FOPID) control for brushless DC (BLDC) motors.
@First Group CNC
Manufacturing of mechanical spare parts used in Railways,
automotive and Oil industry.
Designing and manufacturing of
vacuum and injection molds.
@Celestial ALTIUM Lib.
Developed high-quality electronic component models, encompassing both mechanical and electrical aspects, to ensure accuracy and functionality in design and simulation applications.