ABSTRACT
Brushless DC (BLDC) Motors are widely employed in a variety of industrial applications because of their high efficiency, high torque, and low volume. To accomplish the speed of the BLDC Motors, this work proposed an improved Adaptive Fuzzy PID controller. The performance of Conventional PID controllers, Fuzzy PID controllers, and Adaptive Fuzzy PID controllers are discussed in this work. Using a standard PID controller to set the parameters and achieve satisfactory control characteristics is tough. Because the Adaptive Fuzzy has the capacity to satisfy control qualities while also being simple to compute, it is a good choice. The experimental results show that an Adaptive Fuzzy PID controller outperforms both a Fuzzy PID controller and a conventional PID controller in terms of control performance. The BLDC motor was modelled, controlled, and simulated using the MATLAB/SIMULINK software suite.




PROJECT OVERVIEW
In industry, there are primarily two types of dc motors. The first is the traditional dc motor, which generates flux by passing current through the stationary field coil building made out of poles. The brushless dc motor is the second type, where the air gap is created by the permanent magnet instead of wire-wound field poles, flux is used. The BLDC (brushless DC) motor is also known as permanent magnet synchronous motor. Back EMF waveform having a trapezoidal shape. As a result, Brushless DC motors as the name suggests do not use brushes for commutation; instead, they are commutated electronically and High-performance BLDC motor drives have recently become popular and utilized in industrial variable speed drive systems electrified cars and applications. In practice, designing the BLDCM drive entails a lengthy procedure that includes modelling, control scheme selection, simulation, and parameter tuning. Several new control strategies for the speed control design of BLDC motors have recently been proposed. Conventional PID controller algorithm on the other hand is simple, stable, easy to alter, and has a high level of reliability. Conventional speed control system is utilized in conventional PID control. However, most industrial processes include varying degrees of nonlinearity, parameter fluctuation, and mathematical model uncertainty. Tuning PID control settings is challenging due to their lack of resilience; as a result, achieving the ideal state under field conditions in actual production is tough.

OBJECTIVE:
The objective of this project is to control the speed of the BLDC motor by using different controllers. The performance of Conventional PID controllers and Fuzzy PID controllers are discussed in this work. Using a standard PID controller to set the parameters and achieve satisfactory control characteristics is tough. Because the Fuzzy has the capacity to satisfy control qualities while also being simple to compute, it is a good choice. The simulation results show that Fuzzy PID controller a conventional PID controller in terms of control performance.