PID-based Fuzzy Logic Theory Implementation on BLDC Motor Speed Control

A BLDC motor is an electronically commutated synchronous motor that uses a permanent magnet rotor and direct current (DC) electricity as its power source. The implementation of a conventional PID controller on the motor under dynamic load condition produces quite long steady-state response and poor performance. An improvement is proposed by combining the PID control method with fuzzy logic theory. This research was conducted through the simulation of the BLDC motor drive system implementing fuzzy-PID controller. Using the transfer function of the motor, the controller design process was performed by exploiting the $\mathrm{I}^{\mathrm{st}}$ Ziegler-Nichols method. Some scenarios have been simulated by changing the speed and torque parameters. The evolution of the related values until nominal condition has been observed. The values of settling-time Ts, maximum overshoot Mp, output torque, current, back EMF, and output power were recorded. A comparison has been made to the use of conventional PID controller. The results show that the fuzzy-PID method excels the conventional method in terms of recovery time.