Adaptive Fractional Order PID Based ANFIS for Brushless DC Motor Speed Control

Brushless DC motors are widely utilised nowadays because of their many benefits, including their quiet operation, low maintenance requirements, and high efficiency. Robotics, medical equipment, autos, ships, aeroplanes, and tanks are just some of the many places you may find brushless DC motors in industry. Due to the unpredictable nature of the environment in such applications, the real model often differs from the nominal one. To put it another way, there are major flaws in the models used and severe external disruptions. There must be a reliable method of control that can solve these problems. When it comes to operating a brushless DC motor system, the conventional PID control approach has a number of drawbacks. A Hybrid Fuzzy-FOPID controller is employed in the current system to regulate the BLDC motor. A modified harmony search (HS) metaheuristic Algorithm is designed for modifying FOPID controller settings. The hybrid fuzzy-FOPID controller that was installed greatly enhances motor speed and torque responsiveness in a number of operating circumstances. In the current system, Hybrid Fuzzy-FOPID has the drawback of having a slightly greater steady-state error, ripples throughout the speed profile, and restricted starting torque in all three operating circumstances. To overcome the drawbacks of the present system, we must employ a BLDC motor with a hybrid ANFIS-FOPID controller. The proposed work was created and implemented in MATLAB/SIMULINK.