Omar Farouk Ali, Assistant Lecturer at the Polytechnic College for Engineering Specializations/Baghdad, Holds a Master's degree from the College of Electrical Engineering Technology, specializing in Electrical Power Engineering Technology.
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Electrical and Electronic Engineering, Electrical and Electronic Engineering, Electrical and Electronic Engineering
Intelligent PID Parameter Tuning for BLDC Motors by Using Genetic Algorithms Mohanad H. Mahmood, Omar Farooq Ali, Mohannad Jabbar Mnati, Bayan Mahdi Sabbar, Alex Van Den Bossche Journal Europeen Des Systemes Automatises, 2025 Brushless DC (BLDC) motors are widely used in industrial and automotive applications due to their high efficiency, reliability, and precise speed control.However, achieving optimal performance requires precise tuning of the Proportional-Integral-Derivative (PID) controller parameters.Traditional tuning methods often fail to provide the best control performance under varying operating conditions.In this paper, a Genetic Algorithm (GA)based approach is proposed to optimize PID parameters for BLDC motor drive systems.The GA intelligently searches for the optimal parameter set by minimizing control errors and improving system stability.A mathematical model of the BLDC motor and PID controller is developed, followed by simulation and real-time implementation.The performance of the GA-tuned PID controller is compared with conventional PID tuning methods, demonstrating significant improvements in speed regulation, torque response, and robustness against disturbances.The proposed technology improves the overall efficiency of BLDC motor control, rendering it a viable option for industrial applications.
Performance Analysis and Comparison Between Fuzzy Logic Algorithm and PI-Controller in Photovoltaic System Omar Farooq Ali, Rashid Ali Fayadh, Mohannad Jabbar Mnati, Tareq S. El-Hasan 2nd International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2023, 2023 Technologies based on renewable energy are maturing into viable choices for providing quick, dependable power to every home in the world. Since solar radiation, cell temperatures, and environmental conditions all fluctuate, the output power from solar photovoltaic modules is unpredictable. Therefore, maximum power point trackers are required to maximize solar energy collection and enhance photovoltaic system performance. In this article, we'll deal with two MPPT controllers that are different from each other in approach, Performance in tracking toward fast irradiance and temperature change is examined between a proportional-integral (PI) controller and a fuzzy logic controller by MATLAB/Simulink. Based on the simulation results, it was clear that the fuzzy logic controller outperformed the PI controller. The fuzzy logic controller can dampen oscillation while also providing a fast reaction to fluctuations in solar radiation, and unlike the conventional PI controller, it doesn't even need the settings adjusted.
